应用手册

Quantitative analysis of mitochondrial morphology over time using AI

2021年4月

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.