Towards label-free non-invasive autofluorescence multispectral imaging for melanoma diagnosis.
autofluorescence
feature analysis
fibroblasts
label-free
machine learning
melanoma
multispectral
Journal
Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567
Informations de publication
Date de publication:
21 Jan 2024
21 Jan 2024
Historique:
revised:
11
12
2023
received:
25
09
2023
accepted:
31
12
2023
medline:
22
1
2024
pubmed:
22
1
2024
entrez:
22
1
2024
Statut:
aheadofprint
Résumé
This study focuses on the use of cellular autofluorescence which visualizes the cell metabolism by monitoring endogenous fluorophores including NAD(P)H and flavins. It explores the potential of multispectral imaging of native fluorophores in melanoma diagnostics using excitation wavelengths ranging from 340 nm to 510 nm and emission wavelengths above 391 nm. Cultured immortalized cells are utilized to compare the autofluorescent signatures of two melanoma cell lines to one fibroblast cell line. Feature analysis identifies the most significant and least correlated features for differentiating the cells. The investigation successfully applies this analysis to pre-processed, noise-removed images and original background-corrupted data. Furthermore, the applicability of distinguishing melanomas and healthy fibroblasts based on their autofluorescent characteristics is validated using the same evaluation technique on patient cells. Additionally, the study tentatively maps the detected features to underlying biological processes. This research demonstrates the potential of cellular autofluorescence as a promising tool for melanoma diagnostics.
Identifiants
pubmed: 38247053
doi: 10.1002/jbio.202300402
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e202300402Subventions
Organisme : University of New South Wales
Organisme : Cancer Institute NSW early career fellowship (2021/ECF1291)
Organisme : Australian Research Council Centre of Excellence for Nanoscale Biophotonics CE14010003
Informations de copyright
© 2024 The Authors. Journal of Biophotonics published by Wiley-VCH GmbH.
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