Hyperspectral imaging of endogenous fluorescent metabolic molecules to identify pain states in central nervous system tissue

Vasiliki Staikopoulos; Martin E. Gosnell; Ayad G. Anwer; Sanam Mustafa; Mark R. Hutchinson; Ewa M. Goldys

doi:10.1117/12.2243158

9 December 2016 Hyperspectral imaging of endogenous fluorescent metabolic molecules to identify pain states in central nervous system tissue

Vasiliki Staikopoulos, Martin E. Gosnell, Ayad G. Anwer, Sanam Mustafa, Mark R. Hutchinson, Ewa M. Goldys

Author Affiliations +

Proceedings Volume 10013, SPIE BioPhotonics Australasia; 1001306 (2016) https://doi.org/10.1117/12.2243158
Event: SPIE BioPhotonics Australasia, 2016, Adelaide, Australia

Abstract

Fluorescence-based bio-imaging methods have been extensively used to identify molecular changes occurring in biological samples in various pathological adaptations. Auto-fluorescence generated by endogenous fluorescent molecules within these samples can interfere with signal to background noise making positive antibody based fluorescent staining difficult to resolve. Hyperspectral imaging uses spectral and spatial imaging information for target detection and classification, and can be used to resolve changes in endogenous fluorescent molecules such as flavins, bound and free NADH and retinoids that are involved in cell metabolism. Hyperspectral auto-fluorescence imaging of spinal cord slices was used in this study to detect metabolic differences within pain processing regions of non-pain versus sciatic chronic constriction injury (CCI) animals, an established animal model of peripheral neuropathy. By using an endogenous source of contrast, subtle metabolic variations were detected between tissue samples, making it possible to distinguish between animals from non-injured and injured groups. Tissue maps of native fluorophores, flavins, bound and free NADH and retinoids unveiled subtle metabolic signatures and helped uncover significant tissue regions with compromised mitochondrial function. Taken together, our results demonstrate that hyperspectral imaging provides a new non-invasive method to investigate central changes of peripheral neuropathic injury and other neurodegenerative disease models, and paves the way for novel cellular characterisation in health, disease and during treatment, with proper account of intrinsic cellular heterogeneity.

Citation Download Citation

Vasiliki Staikopoulos, Martin E. Gosnell, Ayad G. Anwer, Sanam Mustafa, Mark R. Hutchinson, and Ewa M. Goldys "Hyperspectral imaging of endogenous fluorescent metabolic molecules to identify pain states in central nervous system tissue", Proc. SPIE 10013, SPIE BioPhotonics Australasia, 1001306 (9 December 2016); https://doi.org/10.1117/12.2243158

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available