
Cédric
@allierced
Neuronal microscopist @HHMIJanelia
ID: 169571238
22-07-2010 17:21:24
92 Tweet
81 Takipçi
344 Takip Edilen




We are trying something new today: coffee with BioImage analysts, with a new topic every time. Today we are discussing how to use DL for whole-cell segmentation as a biologist with no coding experience. Let's see if this lowers the threshold for people to attend! Turku BioImaging



Single cell analysis is finding rectangluar cells in the European project REVEAL. Experiment Kiran Padmanabhan, deep learning analysis at CEA-Leti. Thanks to #cellpose + #TrackMate on lens-free microscopy phase images IPRASENSE - Cell Culture Monitoring Instruments.

Check out our new paper on bioRxiv: 3D single-cell shape analysis of cancer cells using geometric deep learning biorxiv.org/content/10.110… MACH3Cancer



Single cell analysis is finding time in the European project REVEAL . Experiment Kiran Padmanabhan, deep learning analysis at CEA-Leti. Thanks to #cellpose + #TrackMate on lens-free microscopy phase images IPRASENSE - Cell Culture Monitoring Instruments.


Single cell analysis is finding time in the European project REVEAL. Experiment Kiran Padmanabhan , deep learning analysis at CEA-Leti . Thanks to cellpose + #TrackMate on lens-free microscopy phase images IPRASENSE - Cell Culture Monitoring Instruments.

1/ Last week delegation of CEA-Leti with Cédric came to Warsaw Warsaw University of Technology to work on Reveal Project at CEZAMAT Politechniki Warszawskiej Why the guys look like working in a lab on Mars?


European project REVEAL is measuring dry mass of millions of cells. Experiment Kiran Padmanabhan, deep learning analysis at CEA-Leti. Thanks to Cellpose + #TrackMate on lens-free microscopy phase images IPRASENSE - Cell Culture Monitoring Instruments.

Congratulations Harald F. Hess of HHMI | Janelia, winner of the 2023 National Academy of Sciences James Prize in Science and Technology Integration for pioneering work in optical and electron microscopy! #NASaward #academia #microscopy




Decomposing heterogeneous dynamical systems with graph neural networks HHMI | Janelia arxiv.org/pdf/2407.19160

