Notes d’application

Quantitative analysis of mitochondrial morphology over time using AI

avril 2021

This application note introduces an example of quantitative analysis of morphological changes in mitochondria upon functional inhibition using Clarify.ai, a new AI module for the NIS-Elements imaging software, in cooperation with Dr. Takafumi Miyamoto from the Department of Internal Medicine (Endocrinology and Metabolism), Faculty of Medicine, University of Tsukuba.