Autofluorescent imprint of chronic constriction nerve injury identified by deep learning
This study provides the first validation of hyperspectral imaging as a tool to differentiate tissues from nerve injured vs non-injured mice. The auto-fluorescent signals associated with nerve injury were not diffuse throughout the tissue but formed specific microscopic size regions. Furthermore, we identified a unique fluorescent signal that could differentiate spinal cord tissue isolated from nerve injured male and female animals. The identification of a specific global autofluorescence fingerprint associated with nerve injury and resultant neuropathic pain opens up the exciting opportunity to develop a diagnostic tool for identifying novel contributors to pain in individuals.PMID:34626794 | DOI:10.1016/j.nbd.2021.105528
Source: Neurobiology of Disease - Category: Neurology Authors: Martin E Gosnell Vasiliki Staikopoulos Ayad G Anwer Saabah B Mahbub Mark R Hutchinson Sanam Mustafa Ewa M Goldys Source Type: research
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