Pipeline release! nf-core/lsmquant v1.0.2 - 1.0.2 - Excited Squid !
A pipeline for processing and analysis of light-sheet microscopy images.
Please see the changelog: https://github.com/nf-core/lsmquant/releases/tag/1.0.2

#3dunet #imageanalysis #imageprocessing #lightsheetmicrocopy #segmentation #stitching #nfcore #openscience #nextflow #bioinformatics

Release 1.0.2 - Excited Squid · nf-core/lsmquant

Added PR#62 - Template update zenodo DOI to cite all versions Fixed new metromap (smaller nf-core logo, fix typo) PR#69 - Fix to prevent stitching from starting twice when “NM_variables” is spec...

GitHub
@helenajambor Preibisch's "new Lenna" is legendary in #ImageAnalysis circles!
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

Pipeline release! nf-core/lsmquant v1.0.1 - Excited Squid Patch!
A pipeline for processing and analysis of light-sheet microscopy images.
Please see the changelog: https://github.com/nf-core/lsmquant/releases/tag/1.0.1

#3dunet #imageanalysis #imageprocessing #lightsheetmicrocopy #segmentation #stitching #nfcore #openscience #nextflow #bioinformatics

Release Excited Squid Patch · nf-core/lsmquant

Fixed PR#57 - Fix input declaration of the model file for the module: numorph3dunet to be reused for all inputs. Remove conda batch from readme, the pipeline does not support conda. PR#66 - Set ma...

GitHub

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?

📝 https://doi.org/10.1242/jcs.264367

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

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 👉 https://bit.ly/Validating-AI-for-Image-Analysis

#imaging #training

@association @helmholtz_hmc

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 👉 https://bit.ly/Validating-AI-for-Image-Analysis

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

This course is organized in cooperation with HIDA.

#imaging #training @association

Pipeline release! nf-core/lsmquant v1.0.0 - 1.0.0 - Excited Squid!
A pipeline for processing and analysis of light-sheet microscopy images.
Please see the changelog: https://github.com/nf-core/lsmquant/releases/tag/1.0.0

#3dunet #imageanalysis #imageprocessing #lightsheetmicrocopy #segmentation #stitching #nfcore #openscience #nextflow #bioinformatics

Release 1.0.0 - Excited Squid · nf-core/lsmquant

Initial release of nf-core/lsmquant, created with the nf-core template. nf-core/lsmquant is a bioinformatics pipeline that performs preprocessing and analysis of light-sheet microscopy images of ti...

GitHub

Pipeline release! nf-core/lsmquant v1.0.0 - 1.0.0 - Excited Squid!
A pipeline for processing and analysis of light-sheet microscopy images.
Please see the changelog: https://github.com/nf-core/lsmquant/releases/tag/1.0.0

#3dunet #imageanalysis #imageprocessing #lightsheetmicrocopy #segmentation #stitching #nfcore #openscience #nextflow #bioinformatics

Release 1.0.0 - Excited Squid · nf-core/lsmquant

Initial release of nf-core/lsmquant, created with the nf-core template. nf-core/lsmquant is a bioinformatics pipeline that performs preprocessing and analysis of light-sheet microscopy images of ti...

GitHub
How Do You Find an Illegal Image Without Looking at It?

61.8 million files of suspected child abuse were reported in 2025 alone. This is how machines detect them at internet scale — without any human ever seeing the content.