#CellPainting

Spring ScienceSpringScience
2024-08-26

🔬 Unlocking the power of in ! At Spring, we're using AI to turn cell images into groundbreaking insights. By combining cell painting with advanced machine learning, we've boosted MOA prediction accuracy from 72% to 92%! 🚀

buff.ly/3SZpYF6

Axel Pahl :python: :rust:apahl@fosstodon.org
2024-06-19

Very interesting job opening at the MPI of Molecular Physiology in Dortmund in the field of data science on morphological cell imaging. This is the position for my succession at the COMAS:
mpi-dortmund.mpg.de/news/jobs/
#CellPainting #AcademicJobs

Spring ScienceSpringScience
2024-05-08

Did you miss the Spring Science Monthly newsletter last week?

We shared a short preview into our early results from our studies using Saguaro's ChromaLive dyes, our "Intro to ML" blog post, details about the OASIS project and a beta feature release!

We have way more new science to share in the coming months, so be sure to sign up! buff.ly/3P5kHdd

Axel Pahl :python: :rust:apahl@fosstodon.org
2024-05-02

Can you find activity in dark chemical matter? - Yes you can. With the #CellPainting assay.
pubs.acs.org/doi/10.1021/acs.j

Axel Pahl :python: :rust:apahl@fosstodon.org
2024-03-12

Delighted to announce that we not only successfully published a project together with #Sartorius assessing the activity of extractables from single-use applications in the #CellPainting assay, but this is also the first joint paper of my wife and me.
doi.org/10.1038/s41598-024-559

2023-07-31

Great to see our paper published @cddpress: „CellDeathPred: a deep learning framework for ferroptosis and apoptosis prediction based on cell painting“. Great collaboration!
@HelmholtzMunich
#cellpainting #deeplearning #ferroptosis

nature.com/articles/s41420-023

Axel Pahl :python: :rust:apahl@fosstodon.org
2023-06-28

"Morphological subprofile analysis for bioactivity annotation of small molecules"
I am very happy to share our latest effort to extract information out of Cell Painting results.
The described approach enables the fast identification of biological activity by defining subprofiles for biological clusters and comparing them to compounds of interest.
Many thanks to all co-authors for their amazing work!

authors.elsevier.com/c/1hKLZ8j

#CellPainting #DataScience

Axel Pahl :python: :rust:apahl@fosstodon.org
2022-11-06

#introduction
Medicinal chemist by training, now mainly #chemistry #datascience / #cheminformatics.
Working at the Compound Management and Screening Center of the Max-Planck Society, located at the MPI of Molecular Physiology in Dortmund, Germany. Living near Hannover.
Analyzing results from the #cellpainting assay.

#linux enthusiast, interested in many programming languages:
#python #rust #julialang #golang #nimlang ...

Other interests: #machinelearning #deeplearning #pandas #polars

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