home.social

#imageanalysis — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #imageanalysis, aggregated by home.social.

fetched live
  1. Registration open now: Image Dataset Quality Control, Data Exploration & Pixel Patrol

    Learn to spot dataset issues, visualize metadata & prepare image collections for analysis.

    📅 Sept 10+17, 2026
    💻 Online

    Register here 👉 events.hifis.net/event/3675/

    Free for @association & @hidadigital partners.

    @helmholtz_ai @helmholtz_hmc

    #imaging #imagingscience #helmholtz #training #imagequality #imageanalysis

  2. Registration open now: Image Dataset Quality Control, Data Exploration & Pixel Patrol

    Learn to spot dataset issues, visualize metadata & prepare image collections for analysis.

    📅 Sept 10+17, 2026
    💻 Online

    Register here 👉 events.hifis.net/event/3675/

    Free for @association & @hidadigital partners.

    @helmholtz_ai @helmholtz_hmc

    #imaging #imagingscience #helmholtz #training #imagequality #imageanalysis

  3. Do you already have cleared-brain image stacks, but don't know what to do with them? Or maybe you want to learn which parameters are important before embarking on an imaging campaign? In this intensive 2-day hands-on workshop you will learn how to handle 3D #lightsheetmicroscopy data, how to work with the DELiVR pipeline, and how to create your own annotations in #VR.
    September 9-10th, at the Ertürk lab at @HelmholtzMunich in Munich, Germany.
    (1/2)
    #neuroscience #tissueclearing #imageanalysis

  4. Do you already have cleared-brain image stacks, but don't know what to do with them? Or maybe you want to learn which parameters are important before embarking on an imaging campaign? In this intensive 2-day hands-on workshop you will learn how to handle 3D #lightsheetmicroscopy data, how to work with the DELiVR pipeline, and how to create your own annotations in #VR.
    September 9-10th, at the Ertürk lab at @HelmholtzMunich in Munich, Germany.
    (1/2)
    #neuroscience #tissueclearing #imageanalysis

  5. We are happy to announce the "NL-BioImaging Advanced Image Analysis course for biologists", 21–24 September at Erasmus MC in Rotterdam.

    More info and register here:
    courses.microscopie.nl/?event_

    Four hands-on days going from segmentation to full pipelines:
    - Automate reproducible image processing with Jupyter notebooks
    - Assess classical and AI approaches for specific challenges
    - Train and optimise deep learning models on biological datasets
    - Document and publish reproducible image analysis pipelines

    Guidance from experts across the Netherlands.
    Limited to 20 participants.

    Feel free to tag colleagues or share this with your network!

    #bioimaging #imageanalysis #course #openscience
    #cellpose #OMERO #Jupyter #napari #FAIRdata
    NL-Bioimaging #NVvM

  6. I didn't realise that Gabriel Landini - who contributed many scripts and tools to ImageJ - died last year. There's a little tribute to him here.

    forum.image.sc/t/unable-to-dow

    #ImageAnalysis #Microscopy #CellBiology

  7. I didn't realise that Gabriel Landini - who contributed many scripts and tools to ImageJ - died last year. There's a little tribute to him here.

    forum.image.sc/t/unable-to-dow

    #ImageAnalysis #Microscopy #CellBiology

  8. Very interesting study with alarming results. And we're not talking about the LLM's from big tech, but tools that are regarded as a useful deployment of pattern recognition systems.
    Maybe still very useful, but we have think very carefully about the way we deploy them.
    #AI #dataanalysis #patternrecognition #imageanalysis #healthcare
    nature.com/articles/d41586-026

  9. Very interesting study with alarming results. And we're not talking about the LLM's from big tech, but tools that are regarded as a useful deployment of pattern recognition systems.
    Maybe still very useful, but we have think very carefully about the way we deploy them.
    #AI #dataanalysis #patternrecognition #imageanalysis #healthcare
    nature.com/articles/d41586-026

  10. Job alerts! Senior Image Data Scientist (x2!) and Senior Scientific Software Developer - Bioimage Informatics at the Center for Bioimage Informatics at St Jude Children's Research Hospital. These seem pretty nice.

    forum.image.sc/t/opportunities

  11. Job alerts! Senior Image Data Scientist (x2!) and Senior Scientific Software Developer - Bioimage Informatics at the Center for Bioimage Informatics at St Jude Children's Research Hospital. These seem pretty nice.

    forum.image.sc/t/opportunities

    #GetFediHired #ImageAnalysis #Imaging

  12. I have been building a smart water bowl to measure pet water consumption. Scale + camera + raspberry pi. I'm at the image recognition part of training a neural net to identify the pet involved (we have 2 black labs, 1 black cat and 2 tuxedos) and it's harder than you'd think... #imageAnalysis #catsofMastodon #dogsofmastodon

  13. I have been building a smart water bowl to measure pet water consumption. Scale + camera + raspberry pi. I'm at the image recognition part of training a neural net to identify the pet involved (we have 2 black labs, 1 black cat and 2 tuxedos) and it's harder than you'd think... #imageAnalysis #catsofMastodon #dogsofmastodon

  14. In the latest issue of #JCellSci, with Stefania Marcotti, Lina Gerontogianni, Gavin Kelly, & David J. Barry, a reanalysis of images from the #IDR to answer the age-old question:

    How do you tell #statistical #significance from #biological significance?

    📝 doi.org/10.1242/jcs.264367

    #Neuroscience #Statistics #Biology #imageanalysis #Bioimaging #imaging #bioimageanalysis

  15. In the latest issue of #JCellSci, with Stefania Marcotti, Lina Gerontogianni, Gavin Kelly, & David J. Barry, a reanalysis of images from the #IDR to answer the age-old question:

    How do you tell #statistical #significance from #biological significance?

    📝 doi.org/10.1242/jcs.264367

    #Neuroscience #Statistics #Biology #imageanalysis #Bioimaging #imaging #bioimageanalysis

  16. Registration is open!

    Want to better validate your #AI methods in #imageanalysis?

    Join our 3-part online workshop on June 3, 9 & 25 at 9-12 PM.

    Learn to choose metrics, quantify uncertainty & assess the robustness of rankings.

    ⏳ Register by May 31 👉 bit.ly/Validating-AI-for-Image

    #imaging #training

    @association @helmholtz_hmc

  17. Registration is open!

    Want to better validate your #AI methods in #imageanalysis?

    Join our 3-part online workshop on June 3, 9 & 25 at 9-12 PM.

    Learn to choose metrics, quantify uncertainty & assess the robustness of rankings.

    ⏳ Register by May 31 👉 bit.ly/Validating-AI-for-Image

    #imaging #training

    @association @helmholtz_hmc

  18. Doing #AI for #imageanalysis? Learn how to validate your results properly:

    1️⃣Select appropriate performance metrics
    2️⃣Quantify model performance uncertainty
    3️⃣Assess the robustness of model comparisons

    🗓️ June 3 | 9 | 25, 9-12

    Registration opens May 6 👉 bit.ly/Validating-AI-for-Image

    Instructors: Annika Reinke, Helmholtz Imaging, DKFZ & Evangelia Christodoulou, DKFZ

    This course is organized in cooperation with HIDA.

    #imaging #training @association

  19. Doing #AI for #imageanalysis? Learn how to validate your results properly:

    1️⃣Select appropriate performance metrics
    2️⃣Quantify model performance uncertainty
    3️⃣Assess the robustness of model comparisons

    🗓️ June 3 | 9 | 25, 9-12

    Registration opens May 6 👉 bit.ly/Validating-AI-for-Image

    Instructors: Annika Reinke, Helmholtz Imaging, DKFZ & Evangelia Christodoulou, DKFZ

    This course is organized in cooperation with HIDA.

    #imaging #training @association

  20. The image in question is not outdated. A thorough comparison of distance, edges, sky, and surrounding walls confirms its relevance. #ImageAnalysis #OSINT

  21. 🔬 Registration is open for our pilot Introduction to napari Workshop!

    napari is a powerful open-source image viewer for scientific data analysis in Python. This hands-on workshop will get you exploring multi-dimensional datasets fast.

    ✅ Only $20 USD
    ✅ Limited to 20 people
    ✅ Perfect for biologists, imaging specialists & data scientists

    Two workshops at two different times.

  22. 🔬 Registration is open for our pilot Introduction to napari Workshop!

    napari is a powerful open-source image viewer for scientific data analysis in Python. This hands-on workshop will get you exploring multi-dimensional datasets fast.

    ✅ Only $20 USD
    ✅ Limited to 20 people
    ✅ Perfect for biologists, imaging specialists & data scientists

    Two workshops at two different times.

    #napari #Python #ImageAnalysis #DataScience #OpenSource

  23. What would you align sets of multiple (~20) large (2-4 Gb) #microscopy images?

    For smaller subset images ImageJ plugins for transformations based on SIFT landmark correspondence work well. However standard ImageJ (bioformats) file handling doesn’t cope well with such large files. For plugins handling large file manipulation (BigData family) or chunked (e.g. zarr) storage in turn I don’t know how to implement SIFT (or similar) - e.g. for BigWarp I can only find manual landmark annotation, i.e. no option to create landmarks via other plugins.

    My images are iterative fluorescence whole slide scans of the same slide with a constant nuclear stain and varying other stains. There is some x/y shift and rotation as well as warping - nothing major, but I need nearly pixel perfect alignment (e.g. QuPath+Warpy worked well on larger images but was too imprecise).
    Stitching happens on the fly during imaging and I’m not sure I can extract the tiles faithfully, so the ASHLAR pipeline didn’t seem applicable. I’ve seen VALIS recommended, but implementation seemed daunting and since the nuclear stain provides reasonable fiducial points the workflow seemed an overkill.

    Ideally I would want a scripted solution as this has to scale up to hundreds of such sets eventually and downstream processing is in python+R anyhow.

    #imageanalysis #spatial #imaging

  24. What would you align sets of multiple (~20) large (2-4 Gb) #microscopy images?

    For smaller subset images ImageJ plugins for transformations based on SIFT landmark correspondence work well. However standard ImageJ (bioformats) file handling doesn’t cope well with such large files. For plugins handling large file manipulation (BigData family) or chunked (e.g. zarr) storage in turn I don’t know how to implement SIFT (or similar) - e.g. for BigWarp I can only find manual landmark annotation, i.e. no option to create landmarks via other plugins.

    My images are iterative fluorescence whole slide scans of the same slide with a constant nuclear stain and varying other stains. There is some x/y shift and rotation as well as warping - nothing major, but I need nearly pixel perfect alignment (e.g. QuPath+Warpy worked well on larger images but was too imprecise).
    Stitching happens on the fly during imaging and I’m not sure I can extract the tiles faithfully, so the ASHLAR pipeline didn’t seem applicable. I’ve seen VALIS recommended, but implementation seemed daunting and since the nuclear stain provides reasonable fiducial points the workflow seemed an overkill.

    Ideally I would want a scripted solution as this has to scale up to hundreds of such sets eventually and downstream processing is in python+R anyhow.

    #imageanalysis #spatial #imaging

  25. @simon_brooke

    Eerie… but then again context is everything. Google has access to a huge amount of information in the images and exif information if available. Correlating all of this across its huge user base provides possibilities we cannot even imagine.

    These companies and their tools already know more of us than we know about ourselves. We are the product.

    Ever realized why we need rules and regulations around privacy?

    #ai #privacy #google #ImageAnalysis

  26. @simon_brooke

    Eerie… but then again context is everything. Google has access to a huge amount of information in the images and exif information if available. Correlating all of this across its huge user base provides possibilities we cannot even imagine.

    These companies and their tools already know more of us than we know about ourselves. We are the product.

    Ever realized why we need rules and regulations around privacy?

    #ai #privacy #google #ImageAnalysis

  27. I have two open positions in my lab at the Advanced Light Microscopy Unit Centre for Genomic Regulation (CRG):

    - Imaging Scientist (permanent position. Deadline 11th Nov.) recruitment.crg.eu/content/job

    - Entry-Level Imaging Scientist (12 months fixed-term position. Deadline 18th Nov.) recruitment.crg.eu/content/job

    If you have any questions don’t hesitate to reach out.

    Boosts appreciated.

    #getfedihired #fedihire #jobSearch #jobposting #Microscopy #Optics #ImageAnalysis

  28. I have two open positions in my lab at the Advanced Light Microscopy Unit Centre for Genomic Regulation (CRG):

    - Imaging Scientist (permanent position. Deadline 11th Nov.) recruitment.crg.eu/content/job

    - Entry-Level Imaging Scientist (12 months fixed-term position. Deadline 18th Nov.) recruitment.crg.eu/content/job

    If you have any questions don’t hesitate to reach out.

    Boosts appreciated.

    #getfedihired #fedihire #jobSearch #jobposting #Microscopy #Optics #ImageAnalysis

  29. Last week to subscribe for our FREE Webinar Series on "Mastering Colocalization Analysis"; from raw image to scientific results in minutes. Reserve your seat now!
    svi.nl/webinarinvitation
    #imaging #microscopy #cellbiology #fluorescence #imageanalysis #colocalization

  30. Today our team member Anna Breger tells her story - “Many little twists and turns have brought me to where I am now and I am absolutely thrilled about my interdisciplinary research project working on image analysis and historical music manuscripts.”

    ➡️ Find her full story at hermathsstory.eu/anna-breger/

    #AppliedMathematics #ImageAnalysis #Music #InterdisciplinaryResearch #NonTraditionalPathways #DataScience #HerMathsStory

  31. version 0.7-0 of my R package `bayesImageS' is now available on CRAN for Linux and macOS
    (Windows binaries are still being built and should be available soon)

    The main change is a reduction in the console output for the exchange algorithm. There were also some minor changes to fix WARN and NOTE due to compatibility issues with the latest RcppArmadillo, which now uses the
    Armadillo 15 linear algebra library by default.

    cran.r-project.org/package=bay

    #rstats #bayesian #ImageAnalysis