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Merck
  • Autofluorescent imprint of chronic constriction nerve injury identified by deep learning.

Autofluorescent imprint of chronic constriction nerve injury identified by deep learning.

Neurobiology of disease (2021-10-10)
Martin E Gosnell, Vasiliki Staikopoulos, Ayad G Anwer, Saabah B Mahbub, Mark R Hutchinson, Sanam Mustafa, Ewa M Goldys
摘要

Our understanding of chronic pain and the underlying molecular mechanisms remains limited due to a lack of tools to identify the complex phenomena responsible for exaggerated pain behaviours. Furthermore, currently there is no objective measure of pain with current assessment relying on patient self-scoring. Here, we applied a fully biologically unsupervised technique of hyperspectral autofluorescence imaging to identify a complex signature associated with chronic constriction nerve injury known to cause allodynia. The analysis was carried out using deep learning/artificial intelligence methods. The central element was a deep learning autoencoder we developed to condense the hyperspectral channel images into a four- colour image, such that spinal cord tissue based on nerve injury status could be differentiated from control tissue. 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.

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Sigma-Aldrich
抗降钙素基因相关肽 兔抗, whole antiserum
Sigma-Aldrich
Anti-AIF1/IBA1 (Isoforms 1 and 3) antibody produced in goat, affinity isolated antibody, buffered aqueous solution