Predicting mitochondrial fission, fusion and depolarisation event locations from a single z-stack.

ABSTRACT: This paper documents the development of a novel method to predict the occurrence and exact locations of mitochondrial fission, fusion and depolarisation events in three dimensions. This novel implementation of neural networks to predict these events using information encoded only in the morphology of the mitochondria eliminate the need for time-lapse sequences of cells. The ability to predict these morphological mitochondrial events using a single image can not only democratise research but also revolutionise drug trials. The occurrence and location of these events were successfully predicted with a three-dimensional version of the Pix2Pix generative adversarial network (GAN) as well as a three-dimensional adversarial segmentation network called the Vox2Vox GAN. The Pix2Pix GAN predicted t

SUBMITTER: de Villiers JG 

PROVIDER: S-EPMC9994753 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature