{"bekendtgoerelseNoegle":{"noticeId":{"value":"58469284-ccda-4d98-91e9-99f47b3be35a"},"noticeVersion":{"value":"01"},"noticePublicationNumber":{"value":"00473104-2026"}},"htmlDA":"\n\n \n 1 Køber1.1 KøberOfficielt navn: Aalborg Universitet\n \n \n 2 Procedure2.1 ProcedureTitel: ImageXpress HCS.AI Advanced System\n Beskrivelse: The system will provide researchers from various research groups with a microscopy\n solution suitable for a wide range of current and future experimental applications.\n These include high-content screening of pharmacological and biological perturbations\n across a range of sample carriers (including microscope slides, multiwell plate formats,\n and specialized geometries such as U-shaped plates), quantitative analysis of physiologically\n relevant 3D models (including tissue samples, spheroids, and organoids), and imaging\n of complex co-culture systems requiring multi-compartment or insert-based configurations.
Uniqueness\n statement:
The described procurement concerns a highly specialized high-content\n confocal imaging system required to support advanced, large-scale biological experiments\n within a shared research infrastructure. The requirements define a tightly integrated\n combination of functionalities, including:
• High-throughput plate-based acquisition\n of multiwell experiments (96-384 well formats) within defined time constraints, with\n full plate acquisition achievable in the order of 1-5 minutes for single-position\n imaging and ≤30-60 minutes under realistic screening conditions, including multiple\n imaging positions per well (≥9), multi-channel fluorescence acquisition (≥3 channels),\n and Z-stack acquisition (≥20 planes). Full 96-well plate confocal imaging (≥3 channels,\n ≥20x objective) must be achievable within ≤10 minutes at one position per well.
•\n Confocal optical sectioning for imaging of thick 3D biological samples, with effective\n penetration and signal quality for structures in the range of 50-200 um (up to ~300\n um depending on sample type). For this, the imaging system must be able to operate\n in both widefield and spinning disk confocal modes. Availability of a minimum of two\n (2) confocal spinning disc geometries under software control, with options optimized\n for different applications, such as high-resolution, high-speed, and deep-penetration\n imaging, with the option for future disc upgrades.
• Low phototoxicity and low\n photobleaching imaging conditions, enabling repeated imaging of the same samples for\n time-lapse experiments over hours to days, including sensitive 3D cultures and live-cell\n assays.
• High-power laser excitation (up to 800 mW) combined with a motorized\n XY-stage and Z control with high-precision positioning (<25 nm resolution in all axes)\n and the stability required for reliable time-lapse imaging of the same sites over\n several hours or days is needed.
• A software-controlled, automated objective\n turret with at least six (6) positions, equipped with a range of air and water immersion\n objectives from 2x to 60x magnification that includes options for both high numerical\n aperture (NA) and extra-long working distance. The system must be equipped with a\n fully automated water immersion objective system with 20x and 40x water immersion\n objectives, and support optional magnification changes via an additional, software-selectable\n tube lens (1.5x).
• Independent emission filter wheel (≥8 positions) and dichroic\n filter wheel (≥4 positions), equipped with filter sets for imaging DAPI, CFP, FITC,\n YFP, TRITC, TxRed, Cy5, and Cy7, or their equivalents.
• Fully automated, high-content\n acquisition workflows, enabling reproducible imaging of large datasets (≥100-1000\n imaging sites per experiment) with minimal user intervention.
• A high-sensitivity\n sCMOS camera with high peak quantum efficiency (≥95%). The system is required to support\n high-speed image streaming for dynamic live-cell assays such as calcium imaging. The\n requirement is acquisition at ≥80 fps at full resolution and ≥100 fps at reduced resolution\n (using binning).
• Integrated environmental control for physiologically relevant\n experiments with integrated gasmixer in the system for precise control of CO2 and\n O2 levels to create both normal and hypoxic conditions.
• Integrated, high-throughput\n image analysis capabilities, including automated segmentation, feature extraction,\n and compatibility with AI machine learning-based analysis pipelines, enabling efficient\n processing and quantification of large-scale datasets. Possibility of importing images\n from 3rd party instruments for analysis is required.
These requirements are not\n independent, but must be fulfilled simultaneously within a single, unified system\n architecture to ensure technical suitability, data quality, and operational feasibility.\n While individual elements of the required functionality may be available in other\n systems, available alternatives do not provide the full combination of required capabilities\n within a single, fully integrated high-content screening platform. In practice, alternative\n solutions rely on partial, modular, or loosely integrated configurations, where acquisition,\n automation, and analysis are handled by separate components or software environments.\n This prevents consistent, reproducible execution of large-scale experiments and introduces\n technical limitations in throughput, data consistency, and workflow integration.
The\n ImageXpress HCS.AI Advanced platform is identified as the only system available that\n meets all specified requirements as an integrated solution. No alternative suppliers\n can deliver a technically equivalent system without introducing significant limitations\n that render the solution unsuitable for the intended research applications. Consequently,\n the procurement is considered to fall under a situation where competition is absent\n for technical reasons, as only one supplier can deliver a system that fulfils the\n defined requirements.\n Identifikator for proceduren: 704d2ae4-27de-4bc3-8ea2-3d25e4514345\n Intern ID: 1bc7c7b0-0001-4f2a-a8b4-86c78d73f9f6\n Udbudsprocedure: Udbud med forhandling uden forudgående offentliggørelse\n 2.1.1 FormålKontraktens hovedformål: Varer\n Primær klassifikation (cpv): 38000000 Laboratorieudstyr, optisk udstyr og præcisionsudstyr (ikke briller)\n Supplerende klassifikation (cpv): 38515000 Fluorescens- og polarisationsmikroskoper\n \n 2.1.2 UdførelsesstedPostadresse: Selma Lagerløfsvej 249 \n \n \n Landsdel (NUTS): Nordjylland (DK050)\n \n \n 2.1.4 Generelle oplysninger\n \n \n \n \n 5 Delkontrakt5.1 Delkontrakt: LOT-0000Titel: ImageXpress HCS.AI Advanced System\n Beskrivelse: The system will provide researchers from various research groups with a microscopy\n solution suitable for a wide range of current and future experimental applications.\n These include high-content screening of pharmacological and biological perturbations\n across a range of sample carriers (including microscope slides, multiwell plate formats,\n and specialized geometries such as U-shaped plates), quantitative analysis of physiologically\n relevant 3D models (including tissue samples, spheroids, and organoids), and imaging\n of complex co-culture systems requiring multi-compartment or insert-based configurations.
Uniqueness\n statement:
The described procurement concerns a highly specialized high-content\n confocal imaging system required to support advanced, large-scale biological experiments\n within a shared research infrastructure. The requirements define a tightly integrated\n combination of functionalities, including:
• High-throughput plate-based acquisition\n of multiwell experiments (96-384 well formats) within defined time constraints, with\n full plate acquisition achievable in the order of 1-5 minutes for single-position\n imaging and ≤30-60 minutes under realistic screening conditions, including multiple\n imaging positions per well (≥9), multi-channel fluorescence acquisition (≥3 channels),\n and Z-stack acquisition (≥20 planes). Full 96-well plate confocal imaging (≥3 channels,\n ≥20x objective) must be achievable within ≤10 minutes at one position per well.
•\n Confocal optical sectioning for imaging of thick 3D biological samples, with effective\n penetration and signal quality for structures in the range of 50-200 um (up to ~300\n um depending on sample type). For this, the imaging system must be able to operate\n in both widefield and spinning disk confocal modes. Availability of a minimum of two\n (2) confocal spinning disc geometries under software control, with options optimized\n for different applications, such as high-resolution, high-speed, and deep-penetration\n imaging, with the option for future disc upgrades.
• Low phototoxicity and low\n photobleaching imaging conditions, enabling repeated imaging of the same samples for\n time-lapse experiments over hours to days, including sensitive 3D cultures and live-cell\n assays.
• High-power laser excitation (up to 800 mW) combined with a motorized\n XY-stage and Z control with high-precision positioning (<25 nm resolution in all axes)\n and the stability required for reliable time-lapse imaging of the same sites over\n several hours or days is needed.
• A software-controlled, automated objective\n turret with at least six (6) positions, equipped with a range of air and water immersion\n objectives from 2x to 60x magnification that includes options for both high numerical\n aperture (NA) and extra-long working distance. The system must be equipped with a\n fully automated water immersion objective system with 20x and 40x water immersion\n objectives, and support optional magnification changes via an additional, software-selectable\n tube lens (1.5x).
• Independent emission filter wheel (≥8 positions) and dichroic\n filter wheel (≥4 positions), equipped with filter sets for imaging DAPI, CFP, FITC,\n YFP, TRITC, TxRed, Cy5, and Cy7, or their equivalents.
• Fully automated, high-content\n acquisition workflows, enabling reproducible imaging of large datasets (≥100-1000\n imaging sites per experiment) with minimal user intervention.
• A high-sensitivity\n sCMOS camera with high peak quantum efficiency (≥95%). The system is required to support\n high-speed image streaming for dynamic live-cell assays such as calcium imaging. The\n requirement is acquisition at ≥80 fps at full resolution and ≥100 fps at reduced resolution\n (using binning).
• Integrated environmental control for physiologically relevant\n experiments with integrated gasmixer in the system for precise control of CO2 and\n O2 levels to create both normal and hypoxic conditions.
• Integrated, high-throughput\n image analysis capabilities, including automated segmentation, feature extraction,\n and compatibility with AI machine learning-based analysis pipelines, enabling efficient\n processing and quantification of large-scale datasets. Possibility of importing images\n from 3rd party instruments for analysis is required.
These requirements are not\n independent, but must be fulfilled simultaneously within a single, unified system\n architecture to ensure technical suitability, data quality, and operational feasibility.\n While individual elements of the required functionality may be available in other\n systems, available alternatives do not provide the full combination of required capabilities\n within a single, fully integrated high-content screening platform. In practice, alternative\n solutions rely on partial, modular, or loosely integrated configurations, where acquisition,\n automation, and analysis are handled by separate components or software environments.\n This prevents consistent, reproducible execution of large-scale experiments and introduces\n technical limitations in throughput, data consistency, and workflow integration.
The\n ImageXpress HCS.AI Advanced platform is identified as the only system available that\n meets all specified requirements as an integrated solution. No alternative suppliers\n can deliver a technically equivalent system without introducing significant limitations\n that render the solution unsuitable for the intended research applications. Consequently,\n the procurement is considered to fall under a situation where competition is absent\n for technical reasons, as only one supplier can deliver a system that fulfils the\n defined requirements.\n Intern ID: 770403f0-1ca8-4a77-a7c4-ad3bf97d75bb\n 5.1.1 FormålKontraktens hovedformål: Varer\n Primær klassifikation (cpv): 38000000 Laboratorieudstyr, optisk udstyr og præcisionsudstyr (ikke briller)\n Supplerende klassifikation (cpv): 38515000 Fluorescens- og polarisationsmikroskoper\n \n 5.1.2 UdførelsesstedPostadresse: Selma Lagerløfsvej 249 \n \n \n Landsdel (NUTS): Nordjylland (DK050)\n \n \n \n 5.1.6 Generelle oplysningerUdbuddet er omfattet af aftalen om offentlige udbud (GPA): ja\n \n 5.1.15 Teknikker\n Oplysninger om det dynamiske indkøbssystem:Intet dynamisk indkøbssystem\n \n \n 5.1.16 Yderligere oplysninger, mægling og gennemgangOrganisation med ansvar for klager: Klagenævnet for Udbud\n Organisation, der leverer yderligere oplysninger om klageprocedurerne: Konkurrence- og Forbrugerstyrelsen\n Organisation, hvis budget anvendes til at betale for kontrakten: Aalborg Universitet\n Organisation, der udfører betalingen: Aalborg Universitet\n \n \n \n 6 ResultaterDirekte tildeling:Begrundelse for direkte tildeling: Kontrakten kan kun tildeles af en bestemt økonomisk aktør på grund af manglende konkurrence af tekniske årsager\n Anden begrundelse: The system will provide researchers from various research groups with a microscopy\n solution suitable for a wide range of current and future experimental applications.\n These include high-content screening of pharmacological and biological perturbations\n across a range of sample carriers (including microscope slides, multiwell plate formats,\n and specialized geometries such as U-shaped plates), quantitative analysis of physiologically\n relevant 3D models (including tissue samples, spheroids, and organoids), and imaging\n of complex co-culture systems requiring multi-compartment or insert-based configurations.
Uniqueness\n statement:
The described procurement concerns a highly specialized high-content\n confocal imaging system required to support advanced, large-scale biological experiments\n within a shared research infrastructure. The requirements define a tightly integrated\n combination of functionalities, including:
• High-throughput plate-based acquisition\n of multiwell experiments (96-384 well formats) within defined time constraints, with\n full plate acquisition achievable in the order of 1-5 minutes for single-position\n imaging and ≤30-60 minutes under realistic screening conditions, including multiple\n imaging positions per well (≥9), multi-channel fluorescence acquisition (≥3 channels),\n and Z-stack acquisition (≥20 planes). Full 96-well plate confocal imaging (≥3 channels,\n ≥20x objective) must be achievable within ≤10 minutes at one position per well.
•\n Confocal optical sectioning for imaging of thick 3D biological samples, with effective\n penetration and signal quality for structures in the range of 50-200 um (up to ~300\n um depending on sample type). For this, the imaging system must be able to operate\n in both widefield and spinning disk confocal modes. Availability of a minimum of two\n (2) confocal spinning disc geometries under software control, with options optimized\n for different applications, such as high-resolution, high-speed, and deep-penetration\n imaging, with the option for future disc upgrades.
• Low phototoxicity and low\n photobleaching imaging conditions, enabling repeated imaging of the same samples for\n time-lapse experiments over hours to days, including sensitive 3D cultures and live-cell\n assays.
• High-power laser excitation (up to 800 mW) combined with a motorized\n XY-stage and Z control with high-precision positioning (<25 nm resolution in all axes)\n and the stability required for reliable time-lapse imaging of the same sites over\n several hours or days is needed.
• A software-controlled, automated objective\n turret with at least six (6) positions, equipped with a range of air and water immersion\n objectives from 2x to 60x magnification that includes options for both high numerical\n aperture (NA) and extra-long working distance. The system must be equipped with a\n fully automated water immersion objective system with 20x and 40x water immersion\n objectives, and support optional magnification changes via an additional, software-selectable\n tube lens (1.5x).
• Independent emission filter wheel (≥8 positions) and dichroic\n filter wheel (≥4 positions), equipped with filter sets for imaging DAPI, CFP, FITC,\n YFP, TRITC, TxRed, Cy5, and Cy7, or their equivalents.
• Fully automated, high-content\n acquisition workflows, enabling reproducible imaging of large datasets (≥100-1000\n imaging sites per experiment) with minimal user intervention.
• A high-sensitivity\n sCMOS camera with high peak quantum efficiency (≥95%). The system is required to support\n high-speed image streaming for dynamic live-cell assays such as calcium imaging. The\n requirement is acquisition at ≥80 fps at full resolution and ≥100 fps at reduced resolution\n (using binning).
• Integrated environmental control for physiologically relevant\n experiments with integrated gasmixer in the system for precise control of CO2 and\n O2 levels to create both normal and hypoxic conditions.
• Integrated, high-throughput\n image analysis capabilities, including automated segmentation, feature extraction,\n and compatibility with AI machine learning-based analysis pipelines, enabling efficient\n processing and quantification of large-scale datasets. Possibility of importing images\n from 3rd party instruments for analysis is required.
These requirements are not\n independent, but must be fulfilled simultaneously within a single, unified system\n architecture to ensure technical suitability, data quality, and operational feasibility.\n While individual elements of the required functionality may be available in other\n systems, available alternatives do not provide the full combination of required capabilities\n within a single, fully integrated high-content screening platform. In practice, alternative\n solutions rely on partial, modular, or loosely integrated configurations, where acquisition,\n automation, and analysis are handled by separate components or software environments.\n This prevents consistent, reproducible execution of large-scale experiments and introduces\n technical limitations in throughput, data consistency, and workflow integration.
The\n ImageXpress HCS.AI Advanced platform is identified as the only system available that\n meets all specified requirements as an integrated solution. No alternative suppliers\n can deliver a technically equivalent system without introducing significant limitations\n that render the solution unsuitable for the intended research applications. Consequently,\n the procurement is considered to fall under a situation where competition is absent\n for technical reasons, as only one supplier can deliver a system that fulfils the\n defined requirements.\n \n 6.1 Resultat delkontrakt-ID: LOT-00006.1.2 Oplysninger om vinderneVinder:Officielt navn: Molecular Devices (UK) Ltd\n \n Tilbud – Identifikator: Molecular Devices (UK) Ltd\n ID for delkontrakt eller gruppe af delkontrakter: LOT-0000\n Værdien af tilbuddet: 4.010.664 Dansk krone\n Kontraktoplysninger:Identifikator for kontrakten: Molecular Devices (UK) Ltd\n \n \n \n \n \n 8 Organisationer8.1 ORG-0001Officielt navn: Aalborg Universitet\n Registreringsnummer: 29102384\n Postadresse: Fredrik Bajers Vej 7K \n \n \n Landsdel (NUTS): Nordjylland (DK050)\n \n Enhed: Alexander Herskind Rasmussen\n \n \n Denne organisations roller:\n Organisation, hvis budget anvendes til at betale for kontrakten\n Organisation, der udfører betalingen\n \n \n 8.1 ORG-0002Officielt navn: Klagenævnet for Udbud\n Registreringsnummer: 37795526\n \n \n \n Landsdel (NUTS): Vestjylland (DK041)\n \n Enhed: Klagenævnet for Udbud\n E-mail: klfu@naevneneshus.dk\n \n Internetadresse: https://naevneneshus.dk/start-din-klage/klagenaevnet-for-udbud/\n Denne organisations roller:Organisation med ansvar for klager\n \n \n 8.1 ORG-0003Officielt navn: Konkurrence- og Forbrugerstyrelsen\n Registreringsnummer: 10294819\n Postadresse: Carl Jacobsens Vej 35 \n \n \n Landsdel (NUTS): Byen København (DK011)\n \n Enhed: Konkurrence- og Forbrugerstyrelsen\n \n \n Internetadresse: https://www.kfst.dk\n Denne organisations roller:Organisation, der leverer yderligere oplysninger om klageprocedurerne\n \n \n 8.1 ORG-0004Officielt navn: Molecular Devices (UK) Ltd\n Postadresse: 1180 Eskdale Road \n \n \n Land: Det Forenede Kongerige\n Denne organisations roller:\n Vinder af disse delkontrakter: LOT-0000\n \n \n 8.1 ORG-0005Officielt navn: Mercell Holding ASA\n Registreringsnummer: 980921565\n Postadresse: Askekroken 11 \n \n \n Landsdel (NUTS): Oslo (NO081)\n \n \n E-mail: publication@mercell.com\n \n \n Internetadresse: http://mercell.com/\n Denne organisations roller:\n \n \n \n Oplysninger om bekendtgørelsenBekendtgørelsens ID: 58469284-ccda-4d98-91e9-99f47b3be35a - 01\n Formulartype: Forudgående underretning om direkte tildeling\n Bekendtgørelsestype: Bekendtgørelse med henblik på frivillig forudgående gennemsigtighed\n Afsendelsesdato for bekendtgørelsen: 08-07-2026 06:57 +00:00\n Dato for afsendelse af bekendtgørelsen (eSender): 08-07-2026 07:00 +00:00\n Bekendtgørelsens officielle sprog: engelsk \n Bekendtgørelsesnummer: 00473104-2026\n \n Offentliggørelsesdato: 09-07-2026\n \n \n","htmlEN":"\n\n \n 1 Buyer1.1 BuyerOfficial name: Aalborg Universitet\n \n \n 2 Procedure2.1 ProcedureTitle: ImageXpress HCS.AI Advanced System\n Description: The system will provide researchers from various research groups with a microscopy\n solution suitable for a wide range of current and future experimental applications.\n These include high-content screening of pharmacological and biological perturbations\n across a range of sample carriers (including microscope slides, multiwell plate formats,\n and specialized geometries such as U-shaped plates), quantitative analysis of physiologically\n relevant 3D models (including tissue samples, spheroids, and organoids), and imaging\n of complex co-culture systems requiring multi-compartment or insert-based configurations.
Uniqueness\n statement:
The described procurement concerns a highly specialized high-content\n confocal imaging system required to support advanced, large-scale biological experiments\n within a shared research infrastructure. The requirements define a tightly integrated\n combination of functionalities, including:
• High-throughput plate-based acquisition\n of multiwell experiments (96-384 well formats) within defined time constraints, with\n full plate acquisition achievable in the order of 1-5 minutes for single-position\n imaging and ≤30-60 minutes under realistic screening conditions, including multiple\n imaging positions per well (≥9), multi-channel fluorescence acquisition (≥3 channels),\n and Z-stack acquisition (≥20 planes). Full 96-well plate confocal imaging (≥3 channels,\n ≥20x objective) must be achievable within ≤10 minutes at one position per well.
•\n Confocal optical sectioning for imaging of thick 3D biological samples, with effective\n penetration and signal quality for structures in the range of 50-200 um (up to ~300\n um depending on sample type). For this, the imaging system must be able to operate\n in both widefield and spinning disk confocal modes. Availability of a minimum of two\n (2) confocal spinning disc geometries under software control, with options optimized\n for different applications, such as high-resolution, high-speed, and deep-penetration\n imaging, with the option for future disc upgrades.
• Low phototoxicity and low\n photobleaching imaging conditions, enabling repeated imaging of the same samples for\n time-lapse experiments over hours to days, including sensitive 3D cultures and live-cell\n assays.
• High-power laser excitation (up to 800 mW) combined with a motorized\n XY-stage and Z control with high-precision positioning (<25 nm resolution in all axes)\n and the stability required for reliable time-lapse imaging of the same sites over\n several hours or days is needed.
• A software-controlled, automated objective\n turret with at least six (6) positions, equipped with a range of air and water immersion\n objectives from 2x to 60x magnification that includes options for both high numerical\n aperture (NA) and extra-long working distance. The system must be equipped with a\n fully automated water immersion objective system with 20x and 40x water immersion\n objectives, and support optional magnification changes via an additional, software-selectable\n tube lens (1.5x).
• Independent emission filter wheel (≥8 positions) and dichroic\n filter wheel (≥4 positions), equipped with filter sets for imaging DAPI, CFP, FITC,\n YFP, TRITC, TxRed, Cy5, and Cy7, or their equivalents.
• Fully automated, high-content\n acquisition workflows, enabling reproducible imaging of large datasets (≥100-1000\n imaging sites per experiment) with minimal user intervention.
• A high-sensitivity\n sCMOS camera with high peak quantum efficiency (≥95%). The system is required to support\n high-speed image streaming for dynamic live-cell assays such as calcium imaging. The\n requirement is acquisition at ≥80 fps at full resolution and ≥100 fps at reduced resolution\n (using binning).
• Integrated environmental control for physiologically relevant\n experiments with integrated gasmixer in the system for precise control of CO2 and\n O2 levels to create both normal and hypoxic conditions.
• Integrated, high-throughput\n image analysis capabilities, including automated segmentation, feature extraction,\n and compatibility with AI machine learning-based analysis pipelines, enabling efficient\n processing and quantification of large-scale datasets. Possibility of importing images\n from 3rd party instruments for analysis is required.
These requirements are not\n independent, but must be fulfilled simultaneously within a single, unified system\n architecture to ensure technical suitability, data quality, and operational feasibility.\n While individual elements of the required functionality may be available in other\n systems, available alternatives do not provide the full combination of required capabilities\n within a single, fully integrated high-content screening platform. In practice, alternative\n solutions rely on partial, modular, or loosely integrated configurations, where acquisition,\n automation, and analysis are handled by separate components or software environments.\n This prevents consistent, reproducible execution of large-scale experiments and introduces\n technical limitations in throughput, data consistency, and workflow integration.
The\n ImageXpress HCS.AI Advanced platform is identified as the only system available that\n meets all specified requirements as an integrated solution. No alternative suppliers\n can deliver a technically equivalent system without introducing significant limitations\n that render the solution unsuitable for the intended research applications. Consequently,\n the procurement is considered to fall under a situation where competition is absent\n for technical reasons, as only one supplier can deliver a system that fulfils the\n defined requirements.\n Procedure identifier: 704d2ae4-27de-4bc3-8ea2-3d25e4514345\n Internal identifier: 1bc7c7b0-0001-4f2a-a8b4-86c78d73f9f6\n Type of procedure: Negotiated without prior call for competition\n 2.1.1 PurposeMain nature of the contract: Supplies\n Main classification (cpv): 38000000 Laboratory, optical and precision equipments (excl. glasses)\n Additional classification (cpv): 38515000 Fluorescent and polarising microscopes\n \n 2.1.2 Place of performancePostal address: Selma Lagerløfsvej 249 \n \n \n Country subdivision (NUTS): Nordjylland (DK050)\n \n \n 2.1.4 General information\n \n \n \n \n 5 Lot5.1 Lot: LOT-0000Title: ImageXpress HCS.AI Advanced System\n Description: The system will provide researchers from various research groups with a microscopy\n solution suitable for a wide range of current and future experimental applications.\n These include high-content screening of pharmacological and biological perturbations\n across a range of sample carriers (including microscope slides, multiwell plate formats,\n and specialized geometries such as U-shaped plates), quantitative analysis of physiologically\n relevant 3D models (including tissue samples, spheroids, and organoids), and imaging\n of complex co-culture systems requiring multi-compartment or insert-based configurations.
Uniqueness\n statement:
The described procurement concerns a highly specialized high-content\n confocal imaging system required to support advanced, large-scale biological experiments\n within a shared research infrastructure. The requirements define a tightly integrated\n combination of functionalities, including:
• High-throughput plate-based acquisition\n of multiwell experiments (96-384 well formats) within defined time constraints, with\n full plate acquisition achievable in the order of 1-5 minutes for single-position\n imaging and ≤30-60 minutes under realistic screening conditions, including multiple\n imaging positions per well (≥9), multi-channel fluorescence acquisition (≥3 channels),\n and Z-stack acquisition (≥20 planes). Full 96-well plate confocal imaging (≥3 channels,\n ≥20x objective) must be achievable within ≤10 minutes at one position per well.
•\n Confocal optical sectioning for imaging of thick 3D biological samples, with effective\n penetration and signal quality for structures in the range of 50-200 um (up to ~300\n um depending on sample type). For this, the imaging system must be able to operate\n in both widefield and spinning disk confocal modes. Availability of a minimum of two\n (2) confocal spinning disc geometries under software control, with options optimized\n for different applications, such as high-resolution, high-speed, and deep-penetration\n imaging, with the option for future disc upgrades.
• Low phototoxicity and low\n photobleaching imaging conditions, enabling repeated imaging of the same samples for\n time-lapse experiments over hours to days, including sensitive 3D cultures and live-cell\n assays.
• High-power laser excitation (up to 800 mW) combined with a motorized\n XY-stage and Z control with high-precision positioning (<25 nm resolution in all axes)\n and the stability required for reliable time-lapse imaging of the same sites over\n several hours or days is needed.
• A software-controlled, automated objective\n turret with at least six (6) positions, equipped with a range of air and water immersion\n objectives from 2x to 60x magnification that includes options for both high numerical\n aperture (NA) and extra-long working distance. The system must be equipped with a\n fully automated water immersion objective system with 20x and 40x water immersion\n objectives, and support optional magnification changes via an additional, software-selectable\n tube lens (1.5x).
• Independent emission filter wheel (≥8 positions) and dichroic\n filter wheel (≥4 positions), equipped with filter sets for imaging DAPI, CFP, FITC,\n YFP, TRITC, TxRed, Cy5, and Cy7, or their equivalents.
• Fully automated, high-content\n acquisition workflows, enabling reproducible imaging of large datasets (≥100-1000\n imaging sites per experiment) with minimal user intervention.
• A high-sensitivity\n sCMOS camera with high peak quantum efficiency (≥95%). The system is required to support\n high-speed image streaming for dynamic live-cell assays such as calcium imaging. The\n requirement is acquisition at ≥80 fps at full resolution and ≥100 fps at reduced resolution\n (using binning).
• Integrated environmental control for physiologically relevant\n experiments with integrated gasmixer in the system for precise control of CO2 and\n O2 levels to create both normal and hypoxic conditions.
• Integrated, high-throughput\n image analysis capabilities, including automated segmentation, feature extraction,\n and compatibility with AI machine learning-based analysis pipelines, enabling efficient\n processing and quantification of large-scale datasets. Possibility of importing images\n from 3rd party instruments for analysis is required.
These requirements are not\n independent, but must be fulfilled simultaneously within a single, unified system\n architecture to ensure technical suitability, data quality, and operational feasibility.\n While individual elements of the required functionality may be available in other\n systems, available alternatives do not provide the full combination of required capabilities\n within a single, fully integrated high-content screening platform. In practice, alternative\n solutions rely on partial, modular, or loosely integrated configurations, where acquisition,\n automation, and analysis are handled by separate components or software environments.\n This prevents consistent, reproducible execution of large-scale experiments and introduces\n technical limitations in throughput, data consistency, and workflow integration.
The\n ImageXpress HCS.AI Advanced platform is identified as the only system available that\n meets all specified requirements as an integrated solution. No alternative suppliers\n can deliver a technically equivalent system without introducing significant limitations\n that render the solution unsuitable for the intended research applications. Consequently,\n the procurement is considered to fall under a situation where competition is absent\n for technical reasons, as only one supplier can deliver a system that fulfils the\n defined requirements.\n Internal identifier: 770403f0-1ca8-4a77-a7c4-ad3bf97d75bb\n 5.1.1 PurposeMain nature of the contract: Supplies\n Main classification (cpv): 38000000 Laboratory, optical and precision equipments (excl. glasses)\n Additional classification (cpv): 38515000 Fluorescent and polarising microscopes\n \n 5.1.2 Place of performancePostal address: Selma Lagerløfsvej 249 \n \n \n Country subdivision (NUTS): Nordjylland (DK050)\n \n \n \n 5.1.6 General informationThe procurement is covered by the Government Procurement Agreement (GPA): yes\n \n 5.1.15 Techniques\n Information about the dynamic purchasing system:No dynamic purchase system\n \n \n 5.1.16 Further information, mediation and reviewReview organisation: Klagenævnet for Udbud\n Organisation providing more information on the review procedures: Konkurrence- og Forbrugerstyrelsen\n Organisation whose budget is used to pay for the contract: Aalborg Universitet\n Organisation executing the payment: Aalborg Universitet\n \n \n \n 6 ResultsDirect award:Justification for direct award: The contract can be provided only by a particular economic operator because of an absence of competition for technical reasons\n Other justification: The system will provide researchers from various research groups with a microscopy\n solution suitable for a wide range of current and future experimental applications.\n These include high-content screening of pharmacological and biological perturbations\n across a range of sample carriers (including microscope slides, multiwell plate formats,\n and specialized geometries such as U-shaped plates), quantitative analysis of physiologically\n relevant 3D models (including tissue samples, spheroids, and organoids), and imaging\n of complex co-culture systems requiring multi-compartment or insert-based configurations.
Uniqueness\n statement:
The described procurement concerns a highly specialized high-content\n confocal imaging system required to support advanced, large-scale biological experiments\n within a shared research infrastructure. The requirements define a tightly integrated\n combination of functionalities, including:
• High-throughput plate-based acquisition\n of multiwell experiments (96-384 well formats) within defined time constraints, with\n full plate acquisition achievable in the order of 1-5 minutes for single-position\n imaging and ≤30-60 minutes under realistic screening conditions, including multiple\n imaging positions per well (≥9), multi-channel fluorescence acquisition (≥3 channels),\n and Z-stack acquisition (≥20 planes). Full 96-well plate confocal imaging (≥3 channels,\n ≥20x objective) must be achievable within ≤10 minutes at one position per well.
•\n Confocal optical sectioning for imaging of thick 3D biological samples, with effective\n penetration and signal quality for structures in the range of 50-200 um (up to ~300\n um depending on sample type). For this, the imaging system must be able to operate\n in both widefield and spinning disk confocal modes. Availability of a minimum of two\n (2) confocal spinning disc geometries under software control, with options optimized\n for different applications, such as high-resolution, high-speed, and deep-penetration\n imaging, with the option for future disc upgrades.
• Low phototoxicity and low\n photobleaching imaging conditions, enabling repeated imaging of the same samples for\n time-lapse experiments over hours to days, including sensitive 3D cultures and live-cell\n assays.
• High-power laser excitation (up to 800 mW) combined with a motorized\n XY-stage and Z control with high-precision positioning (<25 nm resolution in all axes)\n and the stability required for reliable time-lapse imaging of the same sites over\n several hours or days is needed.
• A software-controlled, automated objective\n turret with at least six (6) positions, equipped with a range of air and water immersion\n objectives from 2x to 60x magnification that includes options for both high numerical\n aperture (NA) and extra-long working distance. The system must be equipped with a\n fully automated water immersion objective system with 20x and 40x water immersion\n objectives, and support optional magnification changes via an additional, software-selectable\n tube lens (1.5x).
• Independent emission filter wheel (≥8 positions) and dichroic\n filter wheel (≥4 positions), equipped with filter sets for imaging DAPI, CFP, FITC,\n YFP, TRITC, TxRed, Cy5, and Cy7, or their equivalents.
• Fully automated, high-content\n acquisition workflows, enabling reproducible imaging of large datasets (≥100-1000\n imaging sites per experiment) with minimal user intervention.
• A high-sensitivity\n sCMOS camera with high peak quantum efficiency (≥95%). The system is required to support\n high-speed image streaming for dynamic live-cell assays such as calcium imaging. The\n requirement is acquisition at ≥80 fps at full resolution and ≥100 fps at reduced resolution\n (using binning).
• Integrated environmental control for physiologically relevant\n experiments with integrated gasmixer in the system for precise control of CO2 and\n O2 levels to create both normal and hypoxic conditions.
• Integrated, high-throughput\n image analysis capabilities, including automated segmentation, feature extraction,\n and compatibility with AI machine learning-based analysis pipelines, enabling efficient\n processing and quantification of large-scale datasets. Possibility of importing images\n from 3rd party instruments for analysis is required.
These requirements are not\n independent, but must be fulfilled simultaneously within a single, unified system\n architecture to ensure technical suitability, data quality, and operational feasibility.\n While individual elements of the required functionality may be available in other\n systems, available alternatives do not provide the full combination of required capabilities\n within a single, fully integrated high-content screening platform. In practice, alternative\n solutions rely on partial, modular, or loosely integrated configurations, where acquisition,\n automation, and analysis are handled by separate components or software environments.\n This prevents consistent, reproducible execution of large-scale experiments and introduces\n technical limitations in throughput, data consistency, and workflow integration.
The\n ImageXpress HCS.AI Advanced platform is identified as the only system available that\n meets all specified requirements as an integrated solution. No alternative suppliers\n can deliver a technically equivalent system without introducing significant limitations\n that render the solution unsuitable for the intended research applications. Consequently,\n the procurement is considered to fall under a situation where competition is absent\n for technical reasons, as only one supplier can deliver a system that fulfils the\n defined requirements.\n \n 6.1 Result lot identifier: LOT-00006.1.2 Information about winnersWinner:Official name: Molecular Devices (UK) Ltd\n \n Tender identifier: Molecular Devices (UK) Ltd\n Identifier of lot or group of lots: LOT-0000\n Value of the tender: 4.010.664 Danish krone\n Contract information:Identifier of the contract: Molecular Devices (UK) Ltd\n \n \n \n \n \n 8 Organisations8.1 ORG-0001Official name: Aalborg Universitet\n Registration number: 29102384\n Postal address: Fredrik Bajers Vej 7K \n \n \n Country subdivision (NUTS): Nordjylland (DK050)\n \n Contact point: Alexander Herskind Rasmussen\n \n \n Roles of this organisation:\n Organisation whose budget is used to pay for the contract\n Organisation executing the payment\n \n \n 8.1 ORG-0002Official name: Klagenævnet for Udbud\n Registration number: 37795526\n Postal address: Toldboden 2 \n \n \n Country subdivision (NUTS): Vestjylland (DK041)\n \n Contact point: Klagenævnet for Udbud\n Email: klfu@naevneneshus.dk\n \n Internet address: https://naevneneshus.dk/start-din-klage/klagenaevnet-for-udbud/\n Roles of this organisation:\n \n \n 8.1 ORG-0003Official name: Konkurrence- og Forbrugerstyrelsen\n Registration number: 10294819\n Postal address: Carl Jacobsens Vej 35 \n \n \n Country subdivision (NUTS): Byen København (DK011)\n \n Contact point: Konkurrence- og Forbrugerstyrelsen\n \n \n Internet address: https://www.kfst.dk\n Roles of this organisation:Organisation providing more information on the review procedures\n \n \n 8.1 ORG-0004Official name: Molecular Devices (UK) Ltd\n Postal address: 1180 Eskdale Road \n \n \n \n Roles of this organisation:\n Winner of these lots: LOT-0000\n \n \n 8.1 ORG-0005Official name: Mercell Holding ASA\n Registration number: 980921565\n Postal address: Askekroken 11 \n \n \n Country subdivision (NUTS): Oslo (NO081)\n \n \n Email: publication@mercell.com\n \n \n Internet address: http://mercell.com/\n Roles of this organisation:\n \n \n \n Notice informationNotice identifier/version: 58469284-ccda-4d98-91e9-99f47b3be35a - 01\n Form type: Direct award preannouncement\n Notice type: Voluntary ex-ante transparency notice\n Notice dispatch date: 08-07-2026 06:57 +00:00\n Notice dispatch date (eSender): 08-07-2026 07:00 +00:00\n Languages in which this notice is officially available: English \n Notice publication number: 00473104-2026\n OJ S issue number: 130/2026\n Publication date: 09-07-2026\n \n \n","opsummeringDA":{"card":{"titel":"ImageXpress HCS.AI Advanced System","ordregiver":"Aalborg Universitet","ordregiverId":"ORG-29102384","ordregiverIdDatavasket":"29102384","publiceringsdato":"2026-07-09+02:00","cpvKode":"38000000","cpvTitel":"Laboratorieudstyr, optisk udstyr og præcisionsudstyr (ikke briller)","formulartype":"Forudgående underretning om direkte tildeling","formulartypeKode":"dir-awa-pre","tidsfrister":[],"alleOrdregivere":["Aalborg Universitet"],"beskrivelse":"The system will provide researchers from various research groups with a microscopy solution suitable for a wide range of current and future experimental applications. These include high-content screening of pharmacological and biological perturbations across a range of sample carriers (including microscope slides, multiwell plate formats, and specialized geometries such as U-shaped plates), quantitative analysis of physiologically relevant 3D models (including tissue samples, spheroids, and organoids), and imaging of complex co-culture systems requiring multi-compartment or insert-based configurations.\nUniqueness statement:\nThe described procurement concerns a highly specialized high-content confocal imaging system required to support advanced, large-scale biological experiments within a shared research infrastructure. The requirements define a tightly integrated combination of functionalities, including:\n• High-throughput plate-based acquisition of multiwell experiments (96-384 well formats) within defined time constraints, with full plate acquisition achievable in the order of 1-5 minutes for single-position imaging and ≤30-60 minutes under realistic screening conditions, including multiple imaging positions per well (≥9), multi-channel fluorescence acquisition (≥3 channels), and Z-stack acquisition (≥20 planes). Full 96-well plate confocal imaging (≥3 channels, ≥20x objective) must be achievable within ≤10 minutes at one position per well. \n• Confocal optical sectioning for imaging of thick 3D biological samples, with effective penetration and signal quality for structures in the range of 50-200 um (up to ~300 um depending on sample type). For this, the imaging system must be able to operate in both widefield and spinning disk confocal modes. Availability of a minimum of two (2) confocal spinning disc geometries under software control, with options optimized for different applications, such as high-resolution, high-speed, and deep-penetration imaging, with the option for future disc upgrades. \n• Low phototoxicity and low photobleaching imaging conditions, enabling repeated imaging of the same samples for time-lapse experiments over hours to days, including sensitive 3D cultures and live-cell assays. \n• High-power laser excitation (up to 800 mW) combined with a motorized XY-stage and Z control with high-precision positioning (<25 nm resolution in all axes) and the stability required for reliable time-lapse imaging of the same sites over several hours or days is needed. \n• A software-controlled, automated objective turret with at least six (6) positions, equipped with a range of air and water immersion objectives from 2x to 60x magnification that includes options for both high numerical aperture (NA) and extra-long working distance. The system must be equipped with a fully automated water immersion objective system with 20x and 40x water immersion objectives, and support optional magnification changes via an additional, software-selectable tube lens (1.5x). \n• Independent emission filter wheel (≥8 positions) and dichroic filter wheel (≥4 positions), equipped with filter sets for imaging DAPI, CFP, FITC, YFP, TRITC, TxRed, Cy5, and Cy7, or their equivalents. \n• Fully automated, high-content acquisition workflows, enabling reproducible imaging of large datasets (≥100-1000 imaging sites per experiment) with minimal user intervention. \n• A high-sensitivity sCMOS camera with high peak quantum efficiency (≥95%). The system is required to support high-speed image streaming for dynamic live-cell assays such as calcium imaging. The requirement is acquisition at ≥80 fps at full resolution and ≥100 fps at reduced resolution (using binning). \n• Integrated environmental control for physiologically relevant experiments with integrated gasmixer in the system for precise control of CO2 and O2 levels to create both normal and hypoxic conditions. \n• Integrated, high-throughput image analysis capabilities, including automated segmentation, feature extraction, and compatibility with AI machine learning-based analysis pipelines, enabling efficient processing and quantification of large-scale datasets. Possibility of importing images from 3rd party instruments for analysis is required.\nThese requirements are not independent, but must be fulfilled simultaneously within a single, unified system architecture to ensure technical suitability, data quality, and operational feasibility. While individual elements of the required functionality may be available in other systems, available alternatives do not provide the full combination of required capabilities within a single, fully integrated high-content screening platform. In practice, alternative solutions rely on partial, modular, or loosely integrated configurations, where acquisition, automation, and analysis are handled by separate components or software environments. This prevents consistent, reproducible execution of large-scale experiments and introduces technical limitations in throughput, data consistency, and workflow integration.\nThe ImageXpress HCS.AI Advanced platform is identified as the only system available that meets all specified requirements as an integrated solution. No alternative suppliers can deliver a technically equivalent system without introducing significant limitations that render the solution unsuitable for the intended research applications. Consequently, the procurement is considered to fall under a situation where competition is absent for technical reasons, as only one supplier can deliver a system that fulfils the defined requirements.","bkSubTypeKode":"25","bkSubType":"Bekendtgørelse med henblik på frivillig forudgående gennemsigtighed – det generelle direktiv","erAendring":false},"indholdsType":"HENTET_FRA_TED","sekundaereOrdregivere":[],"udforelsesstedNutsCode":["DK050"],"udforelsesstedSubLand":["Nordjylland"],"udforelsesstedLand":["Danmark"],"udforelsesstedBy":["Gistrup"],"tilbudsfrister":[],"intressentfrister":[],"deltagelsefrister":[],"svarfrister":[],"antalParts":0,"antalLots":1,"udbudsDokumenter":[]},"opsummeringEN":{"card":{"titel":"ImageXpress HCS.AI Advanced System","ordregiver":"Aalborg Universitet","ordregiverId":"ORG-29102384","ordregiverIdDatavasket":"29102384","publiceringsdato":"2026-07-09+02:00","cpvKode":"38000000","cpvTitel":"Laboratory, optical and precision equipments (excl. glasses)","formulartype":"Direct award preannouncement","formulartypeKode":"dir-awa-pre","tidsfrister":[],"alleOrdregivere":["Aalborg Universitet"],"beskrivelse":"The system will provide researchers from various research groups with a microscopy solution suitable for a wide range of current and future experimental applications. These include high-content screening of pharmacological and biological perturbations across a range of sample carriers (including microscope slides, multiwell plate formats, and specialized geometries such as U-shaped plates), quantitative analysis of physiologically relevant 3D models (including tissue samples, spheroids, and organoids), and imaging of complex co-culture systems requiring multi-compartment or insert-based configurations.\nUniqueness statement:\nThe described procurement concerns a highly specialized high-content confocal imaging system required to support advanced, large-scale biological experiments within a shared research infrastructure. The requirements define a tightly integrated combination of functionalities, including:\n• High-throughput plate-based acquisition of multiwell experiments (96-384 well formats) within defined time constraints, with full plate acquisition achievable in the order of 1-5 minutes for single-position imaging and ≤30-60 minutes under realistic screening conditions, including multiple imaging positions per well (≥9), multi-channel fluorescence acquisition (≥3 channels), and Z-stack acquisition (≥20 planes). Full 96-well plate confocal imaging (≥3 channels, ≥20x objective) must be achievable within ≤10 minutes at one position per well. \n• Confocal optical sectioning for imaging of thick 3D biological samples, with effective penetration and signal quality for structures in the range of 50-200 um (up to ~300 um depending on sample type). For this, the imaging system must be able to operate in both widefield and spinning disk confocal modes. Availability of a minimum of two (2) confocal spinning disc geometries under software control, with options optimized for different applications, such as high-resolution, high-speed, and deep-penetration imaging, with the option for future disc upgrades. \n• Low phototoxicity and low photobleaching imaging conditions, enabling repeated imaging of the same samples for time-lapse experiments over hours to days, including sensitive 3D cultures and live-cell assays. \n• High-power laser excitation (up to 800 mW) combined with a motorized XY-stage and Z control with high-precision positioning (<25 nm resolution in all axes) and the stability required for reliable time-lapse imaging of the same sites over several hours or days is needed. \n• A software-controlled, automated objective turret with at least six (6) positions, equipped with a range of air and water immersion objectives from 2x to 60x magnification that includes options for both high numerical aperture (NA) and extra-long working distance. The system must be equipped with a fully automated water immersion objective system with 20x and 40x water immersion objectives, and support optional magnification changes via an additional, software-selectable tube lens (1.5x). \n• Independent emission filter wheel (≥8 positions) and dichroic filter wheel (≥4 positions), equipped with filter sets for imaging DAPI, CFP, FITC, YFP, TRITC, TxRed, Cy5, and Cy7, or their equivalents. \n• Fully automated, high-content acquisition workflows, enabling reproducible imaging of large datasets (≥100-1000 imaging sites per experiment) with minimal user intervention. \n• A high-sensitivity sCMOS camera with high peak quantum efficiency (≥95%). The system is required to support high-speed image streaming for dynamic live-cell assays such as calcium imaging. The requirement is acquisition at ≥80 fps at full resolution and ≥100 fps at reduced resolution (using binning). \n• Integrated environmental control for physiologically relevant experiments with integrated gasmixer in the system for precise control of CO2 and O2 levels to create both normal and hypoxic conditions. \n• Integrated, high-throughput image analysis capabilities, including automated segmentation, feature extraction, and compatibility with AI machine learning-based analysis pipelines, enabling efficient processing and quantification of large-scale datasets. Possibility of importing images from 3rd party instruments for analysis is required.\nThese requirements are not independent, but must be fulfilled simultaneously within a single, unified system architecture to ensure technical suitability, data quality, and operational feasibility. While individual elements of the required functionality may be available in other systems, available alternatives do not provide the full combination of required capabilities within a single, fully integrated high-content screening platform. In practice, alternative solutions rely on partial, modular, or loosely integrated configurations, where acquisition, automation, and analysis are handled by separate components or software environments. This prevents consistent, reproducible execution of large-scale experiments and introduces technical limitations in throughput, data consistency, and workflow integration.\nThe ImageXpress HCS.AI Advanced platform is identified as the only system available that meets all specified requirements as an integrated solution. No alternative suppliers can deliver a technically equivalent system without introducing significant limitations that render the solution unsuitable for the intended research applications. Consequently, the procurement is considered to fall under a situation where competition is absent for technical reasons, as only one supplier can deliver a system that fulfils the defined requirements.","bkSubTypeKode":"25","bkSubType":"Voluntary ex-ante transparency notice – general directive","erAendring":false},"indholdsType":"HENTET_FRA_TED","sekundaereOrdregivere":[],"udforelsesstedNutsCode":["DK050"],"udforelsesstedSubLand":["Nordjylland"],"udforelsesstedLand":["Denmark"],"udforelsesstedBy":["Gistrup"],"tilbudsfrister":[],"intressentfrister":[],"deltagelsefrister":[],"svarfrister":[],"antalParts":0,"antalLots":1,"udbudsDokumenter":[]}}