A simple and robust method for automating analysis of naive and regenerating peripheral nerves.

ABSTRACT:

Background

Manual axon histomorphometry (AH) is time- and resource-intensive, which has inspired many attempts at automation. However, there has been little investigation on implementation of automated programs for widespread use. Ideally such a program should be able to perform AH across imaging modalities and nerve states. AxonDeepSeg (ADS) is an open source deep learning program that has previously been validated in electron microscopy. We evaluated the robustness of ADS for peripheral nerve axonal histomorphometry in light micrographs prepared using two different methods.

Methods

Axon histomorphometry using ADS and manual analysis (gold-standard) was performed on light micrographs of naïve or regenerating rat median nerve cross-sections prepared with either toluidine-res

SUBMITTER: Wong AL 

PROVIDER: S-EPMC8263263 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature