Environment‐specific spectral modeling: A new tool for the analysis of biological specimens. Issue 3 (26th November 2018)

• Record Type: Journal Article
• Authors: Valbusa, Giovanni; Capozza, Martina; Brioschi, Chiara; Blasi, Francesco; Ghiani, Simona; Maiocchi, Alessandro
• Is Part Of: Journal of biophotonics. Volume 12:Issue 3(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-11-26
• Subjects: Cy5.5 -- fluorescence‐guided surgery -- formalin‐fixed paraffin tissues -- spectral unmixing -- targeted contrast agent; Photonics -- Periodicals; Optical materials -- Periodicals; Optics -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3605
• DOI: 10.1002/jbio.201800217
• Languages: English
• ISSNs: 1864-063X

Abstract

Abstract : The recent discovery of fluorescent dyes for improving pathologic tissues identification has highlighted the need of robust methods for performance validation especially in the field of fluorescence‐guided surgery. Optical imaging of excised tissue samples is the reference tool to validate the association between dyes localization and the underlying histology in a controlled environment. Spectral unmixing may improve the validation process discriminating dye from endogenous signal. Here, an innovative spectral modeling approach that weights the spectral shifts associated with changes in chemical environment is described. The method is robust against spectral shift variations and its application leads to unbiased spectral weights estimates as demonstrated by numerical simulations. Finally, spectral shifts values computed pixel‐wise from spectral images are used to display additional information with potential diagnostic value. Abstract : Fluorescence spectral shift induced by viscosity and/or interactions with the biological matrix is corrected to improve spectral unmixing of formalin‐fixed paraffin embedded blocks samples. Additionally, the method can extract additional information with potential application in the field of fluorescence‐guided surgery. The proposed method, in fact, exploits fluorescence spectra variations seen by low‐resolution optical imagers used in preclinical and clinical in vivo applications.