Comparing Automated Morphology Quantification Software on Dendrites of Uninjured and Injured Drosophila Neurons.

ABSTRACT: Dendrites shape inputs and integration of depolarization that controls neuronal activity in the nervous system. Neuron pathologies can damage dendrite architecture and cause abnormalities in morphologies after injury. Dendrite regeneration can be quantified by various parameters, including total dendrite length and number of dendrite branches using manual or automated image analysis approaches. However, manual quantification is tedious and time consuming and automated approaches are often trained using wildtype neurons, making them poorly suited for analysis of genetically manipulated or injured dendrite arbors. In this study, we tested how well automated image analysis software performed on class IV Drosophila neurons, which have several hundred individual dendrite branches. We applied ea

SUBMITTER: Nguyen C 

PROVIDER: S-EPMC8566419 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature