A comparative study of CARE 2D and N2V 2D for tissue-specific denoising in second harmonic generation imaging.
ECM imaging
SHG microscopy
deep learning
denoising
image restoration
myosin imaging
Journal
Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567
Informations de publication
Date de publication:
02 Apr 2024
02 Apr 2024
Historique:
revised:
11
03
2024
received:
27
12
2023
accepted:
17
03
2024
medline:
3
4
2024
pubmed:
3
4
2024
entrez:
3
4
2024
Statut:
aheadofprint
Résumé
This study explored the application of deep learning in second harmonic generation (SHG) microscopy, a rapidly growing area. This study focuses on the impact of glycerol concentration on image noise in SHG microscopy and compares two image restoration techniques: Noise-to-Void 2D (N2V 2D, no reference image restoration) and content-aware image restoration (CARE 2D, full reference image restoration). We demonstrated that N2V 2D effectively restored the images affected by high glycerol concentrations. To reduce sample exposure and damage, this study further addresses low-power SHG imaging by reducing the laser power by 70% using deep learning techniques. CARE 2D excels in preserving detailed structures, whereas N2V 2D maintains natural muscle structure. This study highlights the strengths and limitations of these models in specific SHG microscopy applications, offering valuable insights and potential advancements in the field .
Identifiants
pubmed: 38566461
doi: 10.1002/jbio.202300565
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e202300565Subventions
Organisme : the Natural Sciences and Engineering Research Council of Canada, the New Frontiers Research Fund
Organisme : Fonds de recherche du Québec - Nature et technologies
Organisme : Canadian Cancer Society
ID : 707140
Organisme : NSERC CREATE program
Organisme : Epstein Fellowship in Women's Health (Faculty of Medicine, McGill University)
Organisme : Fonds de Recherche du Québec - Santé
Organisme : Canada Foundation for Innovation
Informations de copyright
© 2024 The Authors. Journal of Biophotonics published by Wiley‐VCH GmbH.
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