Automated label‐free detection of injured neuron with deep learning by two‐photon microscopy
Abstract
Stroke is a significant cause of morbidity and long‐term disability globally. Detection of injured neuron is a prerequisite for defining the degree of focal ischemic brain injury, which can be used to guide further therapy. Here, we demonstrate the capability of two‐photon microscopy (TPM) to label‐freely identify injured neurons on unstained thin section and fresh tissue of rat cerebral ischemia‐reperfusion model, revealing definite diagnostic...
Paper Details
Title
Automated label‐free detection of injured neuron with deep learning by two‐photon microscopy
Published Date
Oct 30, 2019
Journal
Volume
13
Issue
1
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History