Multimodal NASH prognosis using 3D imaging flow cytometry and artificial intelligence to characterize liver cells.

ABSTRACT: To improve the understanding of the complex biological process underlying the development of non-alcoholic steatohepatitis (NASH), 3D imaging flow cytometry (3D-IFC) with transmission and side-scattered images were used to characterize hepatic stellate cell (HSC) and liver endothelial cell (LEC) morphology at single-cell resolution. In this study, HSC and LEC were obtained from biopsy-proven NASH subjects with early-stage NASH (F2-F3) and healthy controls. Here, we applied single-cell imaging and 3D digital reconstructions of healthy and diseased cells to analyze a spatially resolved set of morphometric cellular and texture parameters that showed regression with disease progression. By developing a customized autoencoder convolutional neural network (CNN) based on label-free cell transmiss

SUBMITTER: Subramanian R 

PROVIDER: S-EPMC9249889 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature