AlexCrimiFeb 25
Check our yet another "Protocol for automated analysis of biological images using #Python code" https://sciencedirect.com/science/article/pii/S2666166726000213
-Steps for the analysis of confocal images through Python
-Guidance on the usage of machine learning for #cellsegmentation
-Troubleshooting of common issues
CSBJMay 27, 2025

๐Ÿค– How resilient are deep learning models to real-world imperfections in microscopy?

๐Ÿ”— Practical guidelines for cell segmentation models under optical aberrations in microscopy. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2024.09.002

๐Ÿ“š CSBJ Quantum Biology and Biophotonics: https://www.csbj.org/qbio

#CellSegmentation #Microscopy #AIinBiology #OpticalAberrations #DeepLearning #BiomedicalAI #Cellpose #ComputationalBiology #PLCM

AI4LifeMay 11, 2023
Ko Sugawara shows how training with sparse annotations can produce practical models for cell image segmentation. Strategic selection of annotated cells boosts performance! @ELEPHANT_track @NEUBIAS_ Symposium ๐Ÿงช๐Ÿ” #DeepLearning #BioimageAnalysis #CellSegmentation