106 Congresso Nazionale SIF 2020

Microscopy pixel classification of intracellular sites of triglycerides and cholesteryl esters formation and storage through a machine-learning assisted polarity-driven segmentation.

14 Sept 2020, 00:00

10m

Milano

Speaker

G. Bianchetti

Presentation materials

Presentazione SIF2020_BianchettiGiada.mp4

Presentazione SIF2020_BianchettiGiada.pdf

Presentazione SIF2020_BianchettiGiada.ppsx

Materiale bibliografico

High-resolution imaging of redox signaling in live cells through an oxidation-sensitive yellow fluorescent protein

Investigation of the spatial distribution of glutathione redox-balance in live cells by using Fluorescence Ratio Imaging Microscopy

Machine-learning assisted confocal imaging of intracellular sites of triglycerides and cholesteryl esters formation and storage

Quantitative analysis of autophagic flux by confocal pH-imaging of autophagic intermediates

Quantitative imaging of membrane micropolarity in living cells and tissues by spectral phasors analysis

Real time quantitative analysis of lipid storage and lipolysis pathways by confocal spectral imaging of intracellular micropolarity

Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification