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12 events found

Scientific topics: Biological imaging 

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City: Bogota  or Cambridge  or Buenos Aires 

  • Biological Imaging Data Management for Facility Managers

    13 July 2016

    Cambridge, United Kingdom

    Elixir node event
    Biological Imaging Data Management for Facility Managers https://tess.elixir-europe.org/events/biological-imaging-data-management-for-facility-managers [The Open Microscopy Environment](https://www.openmicroscopy.org/) (OME) is an open-source software project that develops tools that enable access, analysis, visualization, sharing and publication of biological image data. OME has three components: * OME-TIFF, standardised file format and data model; * Bio-Formats, a software library for reading proprietary image file formats; and * OMERO, a software platform for image data management and analysis. In this one day course, we will present the OMERO platform, and show how Facility Managers can use it to manage users, groups, and their microscopy, HCS and digital pathology data. Help pages on 'Using OMERO for Facility Managers' can be found [here](http://help.openmicroscopy.org/facility-manager.html). This course is organized alongside a one day course on Biological Imaging Data Management for Life Scientists. More information on this event are available [here](http://www.training.cam.ac.uk/bioinformatics/event/1769278). This course will be delivered by members of the OMERO team. The OME project is supported by BBSRC and Wellcome Trust. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://marstons.bio.cam.ac.uk/course-booking/?CourseID=Biological%20imaging%20data%20management%20for%20facility%20managers_bioinfo-omerofm_13.07.2016_1769270&CourseName=Biological%20imaging%20data%20management%20for%20facility%20managers&CourseDate=13.07.2016&CourseDuration=1&EventID=1769270).'' 2016-07-13 08:30:00 UTC 2016-07-13 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data management Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Facility Managers using orwanting to useOMERO for image data managementGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Biological Imaging Data Management for Life Scientists

    14 July 2016

    Cambridge, United Kingdom

    Elixir node event
    Biological Imaging Data Management for Life Scientists https://tess.elixir-europe.org/events/biological-imaging-data-management-for-life-scientists-eb567418-c2a4-45dc-8363-1778a4bc4b13 [The Open Microscopy Environment](https://www.openmicroscopy.org/) (OME) is an open-source software project that develops tools that enable access, analysis, visualization, sharing and publication of biological image data. OME has three components: * OME-TIFF, standardised file format and data model; * Bio-Formats, a software library for reading proprietary image file formats; and * OMERO, a software platform for image data management and analysis. In this one day course, we will present the OMERO platform, and show how to import, organise, view, search, annotate and publish imaging data. Additionally, we will briefly introduce how to use a variety of analysis tools with OMERO. This course is organized alongside a one day course on Biological Imaging Data Management for Facility Managers. More information on this event are available [here](http://www.training.cam.ac.uk/bioinformatics/event/1769270). This course will be delivered by members of the OMERO team. The OME project is supported by BBSRC and Wellcome Trust. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://marstons.bio.cam.ac.uk/course-booking/?CourseID=Biological%20imaging%20data%20management%20for%20life%20scientists_bioinfo-omerols_14.07.2016_1769278&CourseName=Biological%20imaging%20data%20management%20for%20life%20scientists&CourseDate=14.07.2016&CourseDuration=1&EventID=1769278).'' 2016-07-14 08:30:00 UTC 2016-07-14 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data management Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Anyone wanting to use OMERO to organizeviewannotate and publish imaging dataFacility Managers wanting to train usersGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Image Processing and Visualisation with LithoGraphX

    4 - 5 August 2016

    Cambridge, United Kingdom

    Elixir node event
    Image Processing and Visualisation with LithoGraphX https://tess.elixir-europe.org/events/image-processing-and-visualisation-with-lithographx [LithoGraphX](http://www.lithographx.org/) is a software to visualize, process and analyse 3D images and meshes. On the first day of this course, we will demonstrate how to use LithoGraphX to visualize, clean and process 2D and 3D images. We will cover: (i) how to extract cell shape from 2D or 3D images by marking the cell wall or membrane, (ii) how to extract key morphological features and (iii) how to use these features to build a cell classifier. The first day is intended for biologists and computer scientists interested in using LithoGraphX. On the second day, we will see how to write and distribute extensions to LithoGraphX. To this purpose, we will learn more about the internals of LithoGraphX and its API both in C++ and Python. The second day is intended for computer scientists wanting either to write their own algorithm or automate complex protocols. Participants can choose to register for both days or for individual days, depending on their interest and background knowledge. The timetable for this event can be found [here](http://bioinfotraining.bio.cam.ac.uk/postgraduate/specialized/bioinfo-litho). This course is organized in collaboration with Dr Susana Sauret-Gueto from the OpenPlant Lab of the Department of Plant Sciences of the University of Cambridge. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to Book or register Interest by linking [here](http://marstons.bio.cam.ac.uk/course-booking/?CourseID=Image%20Processing%20and%20Visualisation%20with%20LithoGraphX_bioinfo-Litho_4-5.08.2016_1860699&CourseName=Image%20Processing%20and%20Visualisation%20with%20LithoGraphX&CourseDate=4-5.08.2016&CourseDuration=2&EventID=1860699).'' 2016-08-04 09:00:00 UTC 2016-08-05 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Day1 is intended for biologists and computer scientists interested in using LithoGraphX. Some experience in imaging is desirable but not required.Day2 is intended for computer scientists wanting either to write their own algorithm or automate complex protocols. Basic python knowledge and familiar with C++ are required.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Image Analysis for Biologists

    12 - 14 December 2016

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-a6ce3427-1d29-46e0-9738-bc9d4dca1538 This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](http://fiji.sc/), an extensible open source software package. On day 2, we will describe the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualization, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). On day 3, we will cover time series processing and cell tracking using [TrackMate](http://imagej.net/TrackMate). Additionally, in the afternoon we will run a study design and data clinic (sign up will be required) for participants that wish to discuss their experiments. A timetable is available [here](http://bioinfotraining.bio.cam.ac.uk/postgraduate/specialized/bioinfo-image). Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=1879343&course-title=Image%20Analysis%20for%20Biologists).'' 2016-12-12 09:30:00 UTC 2016-12-14 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Using CellProfiler and CellProfiler Analyst to analyse biological images

    15 - 16 December 2016

    Cambridge, United Kingdom

    Elixir node event
    Using CellProfiler and CellProfiler Analyst to analyse biological images https://tess.elixir-europe.org/events/using-cellprofiler-and-cellprofiler-analyst-to-analyse-biological-images Microscopy experiments have proven to be a powerful means of generating information-rich data for biological applications. From small-scale microscopy experiments to time-lapse movies and high-throughput screens, automatic image analysis is more objective and quantitative and less tedious than visual inspection. This course will introduce users to the free open-source image analysis program [CellProfiler](http://cellprofiler.org/) and its companion data exploration program CellProfiler Analyst. We will show how CellProfiler can be used to analyse a variety of types of imaging experiments. We will also briefly discuss the basic principles of supervised machine learning with CellProfiler Analyst in order to score complex and subtle phenotypes. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=1879361&course-title=Using%20CellProfiler%20and%20CellProfiler%20Analyst%20to%20analyse%20biological%20images).'' 2016-12-15 09:30:00 UTC 2016-12-16 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who want to extract quantitative information from microscopy imagesGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Image Analysis for Biologists

    26 - 28 June 2017

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-cd4b3336-bf22-48de-8e32-e4c22f2c4722 This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](http://fiji.sc/), an extensible open source software package. On day 2, we will describe the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualisation, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). On day 3, we will cover time series processing and cell tracking using [TrackMate](http://imagej.net/TrackMate). In the afternoon, we will present the [Image Data Resource](https://idr.openmicroscopy.org/), an added-value platform that combines data from multiple independent imaging experiments and imaging modalities and integrates them into a single resource for reanalysis in a convenient, scalable form. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2046117&course-title=Image%20Analysis%20for%20Biologists).'' 2017-06-26 08:30:00 UTC 2017-06-28 15:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals 42 workshops_and_courses first_come_first_served HDRUK
  • Biological Imaging Data Management for Life Scientists

    7 December 2017

    Cambridge, United Kingdom

    Elixir node event
    Biological Imaging Data Management for Life Scientists https://tess.elixir-europe.org/events/biological-imaging-data-management-for-life-scientists [The Open Microscopy Environment](https://www.openmicroscopy.org/) (OME) is an open-source software project that develops tools that enable access, analysis, visualization, sharing and publication of biological image data. OME has three components: * OME-TIFF, standardised file format and data model; * Bio-Formats, a software library for reading proprietary image file formats; and * OMERO, a software platform for image data management and analysis. In this one day course, we will present the OMERO platform, and show how to import, organise, view, search, annotate and publish imaging data. Additionally, we will briefly introduce how to use a variety of processing tools with OMERO. This course is organized alongside a one day course on Biological Imaging Data Processing for Data Scientists. More information on this event are available [here](https://training.csx.cam.ac.uk/bioinformatics/event/2280783). This course will be delivered by members of the OMERO team. The OME project is supported by BBSRC and Wellcome Trust. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2239247&course-title=Biological%20imaging%20data%20management%20for%20life%20scientists).'' 2017-12-07 09:30:00 UTC 2017-12-07 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data management Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Anyone wanting to use OMERO to organizeviewannotate and publish imaging dataFacility Managers wanting to train usersGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Biological Imaging Data Processing for Data Scientists

    8 December 2017

    Cambridge, United Kingdom

    Elixir node event
    Biological Imaging Data Processing for Data Scientists https://tess.elixir-europe.org/events/biological-imaging-data-processing-for-data-scientists [The Open Microscopy Environment](https://www.openmicroscopy.org/) (OME) is an open-source software project that develops tools that enable access, analysis, visualization, sharing and publication of biological image data. OME has three components: * OME-TIFF, standardised file format and data model; * Bio-Formats, a software library for reading proprietary image file formats; and * OMERO, a software platform for image data management and analysis. In this one day course, we will present the OMERO platform, and show how to transition from manual data processing to automated processing workflows. We will introduce how to write applications against the OMERO API, how to integrate a variety of processing tools with OMERO and how to automatically generate output ready for publication. This course is organized alongside a one day course on Biological Imaging Data Management for Life Scientists. More information on this event are available [here](https://training.csx.cam.ac.uk/bioinformatics/event/2239247). This course will be delivered by members of the OMERO team. The OME project is supported by BBSRC and Wellcome Trust. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2280783&course-title=Biological%20imaging%20data%20management%20for%20data%20scientists).'' 2017-12-08 09:30:00 UTC 2017-12-08 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data management Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Life scientists with programming skillsbioinformaticians and image analysts.Anybody interested in using Jupyter and OMEROGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Using CellProfiler and CellProfiler Analyst to analyse biological images

    13 - 14 December 2017

    Cambridge, United Kingdom

    Elixir node event
    Using CellProfiler and CellProfiler Analyst to analyse biological images https://tess.elixir-europe.org/events/using-cellprofiler-and-cellprofiler-analyst-to-analyse-biological-images-0ecfe90a-5697-48c3-96c4-0d318bb4bcd2 Microscopy experiments have proven to be a powerful means of generating information-rich data for biological applications. From small-scale microscopy experiments to time-lapse movies and high-throughput screens, automatic image analysis is more objective and quantitative and less tedious than visual inspection. This course will introduce users to the free open-source image analysis program [CellProfiler](http://cellprofiler.org/) and its companion data exploration program CellProfiler Analyst. We will show how CellProfiler can be used to analyse a variety of types of imaging experiments. We will also briefly discuss the basic principles of supervised machine learning with CellProfiler Analyst in order to score complex and subtle phenotypes. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=1923396&course-title=Using%20CellProfiler%20and%20CellProfiler%20Analyst%20to%20analyse%20biological%20images).'' 2017-12-13 09:30:00 UTC 2017-12-14 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who want to extract quantitative information from microscopy imagesGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Image Analysis for Biologists

    9 - 11 July 2018

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-2e61e51b-b3c2-44bb-844e-191710e6ffd5 This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](http://fiji.sc/), an extensible open source software package. On day 2, we will cover time series processing and cell tracking using [TrackMate](http://imagej.net/TrackMate) and advanced image segmentation using [Ilastik](http://ilastik.org/). Additionally, in the afternoon we will run a study design and data clinic (sign up will be required) for participants that wish to discuss their experiments. On day 3, we will describe the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualisation, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2495657&course-title=Image%20Analysis%20for%20Biologists).'' 2018-07-09 08:30:00 UTC 2018-07-11 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Using CellProfiler and CellProfiler Analyst to analyse biological images

    10 - 11 December 2018

    Cambridge, United Kingdom

    Elixir node event
    Using CellProfiler and CellProfiler Analyst to analyse biological images https://tess.elixir-europe.org/events/using-cellprofiler-and-cellprofiler-analyst-to-analyse-biological-images-784b3b6a-5e06-4064-b715-9c596d8b9d43 Microscopy experiments have proven to be a powerful means of generating information-rich data for biological applications. From small-scale microscopy experiments to time-lapse movies and high-throughput screens, automatic image analysis is more objective and quantitative and less tedious than visual inspection. This course will introduce users to the free open-source image analysis program [CellProfiler](http://cellprofiler.org/) and its companion data exploration program CellProfiler Analyst. We will show how CellProfiler can be used to analyse a variety of types of imaging experiments. We will also briefly discuss the basic principles of supervised machine learning with CellProfiler Analyst in order to score complex and subtle phenotypes. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2657149&course-title=Using%20CellProfiler%20and%20CellProfiler%20Analyst%20to%20analyse%20biological%20images).'' 2018-12-10 09:30:00 UTC 2018-12-11 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who want to extract quantitative information from microscopy imagesGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Image Analysis for Biologists

    24 - 26 June 2019

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-5372065b-76aa-42d1-b91f-17ef321e2e8d This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](http://fiji.sc/), an extensible open source software package. On day 2, we will cover time series processing and cell tracking using [TrackMate](http://imagej.net/TrackMate) and advanced image segmentation using [Ilastik](http://ilastik.org/). Additionally, in the afternoon we will run a study design and data clinic (sign up will be required) for participants that wish to discuss their experiments. On day 3, we will describe the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualisation, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2871473&course-title=Image%20Analysis%20for%20Biologists).'' 2019-06-24 08:30:00 UTC 2019-06-26 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
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