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

🤖 How resilient are deep learning models to real-world imperfections in microscopy?

🔗 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

📚 CSBJ Quantum Biology and Biophotonics: https://www.csbj.org/qbio

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

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 🧪🔍 #DeepLearning #BioimageAnalysis #CellSegmentation