Core Concepts
Quantifying cell phagocytosis in neurodegenerative diseases using the PhagoStat framework.
Abstract
Introduction to the importance of quantifying phagocytosis in neurodegenerative diseases.
Challenges in measuring rapid cell interactions and distinguishing cells from background.
Introduction of the PhagoStat framework for real-time analysis of phagocytic activity.
Features of the PhagoStat pipeline, including data quality verification and interpretable deep learning modules.
Application of PhagoStat to analyze microglial cell phagocytosis in frontotemporal dementia (FTD).
Release of an open-source dataset for further research on microglial cell phagocytosis.
Detailed methodology on data loading, normalization, scene shift correction, and aggregate quantification.
Discussion on model optimization, interpretability in deep learning, and future directions for 3D analysis.
Stats
PhagoStatは750 GBのデータを97分で処理しました。
CECCはSIFTよりも遅いが、バイアスが少ないことが示されました。
UNets+LSTMアプローチは他の手法よりも優れたパフォーマンスを示しました。
Quotes
"PhagoStat offers a scalable, real-time analysis end-to-end framework adept at leveraging HPC clusters."
"Our aim is to establish a strong, reliable framework within the discipline that significantly improves the analysis of complex biological data."