Axon Segmentation Research
We implement deep neural nets for instance-based
segmentation of axons in TEM images. Our approach
studying segmentation of unmyelinated fibers recently
published in .
Data associated with this study, were collected as
part of the Stimulating Peripheral Activity to Relieve
Conditions (SPARC) program and are available through the
SPARC Portal (RRID: SCR_017041) under a CC-BY 4.0
All training, testing, and evaluation scripts are
hosted in this
repository. Due to large file sizes pretrained
models cannot be included in the GitHub package and have
to be downloaded from the following link.
Plebani, Emanuele; Biscola, Natalia P; Havton, Leif A; Rajwa, Bartek; Shemonti, Abida Sanjana; Jaffey, Deborah; Powley, Terry; Keast, Janet R; Lu, Kun-Han; Dundar, M Murat;
"High-throughput segmentation of unmyelinated axons by deep learning",
Scientific Reports 12 1 16-Jan 2022, Nature Publishing Group
The segmentation research reported in this publication was supported by the NIH Common Fund under SPARC OT2 (Stimulating Peripheral Activity to Relieve Conditions) award OD023847.
mdundar at iupui dot edu