Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/344986
Type: Artigo
Title: Nonlinear optical microscopy signal processing strategies in cancer
Author: Adur, J.
Carvalho, H. F.
Cesar, C. L.
Casco, V. H.
Abstract: This work reviews the most relevant present-day processing methods used to improve the accuracy of multimodal nonlinear images in the detection of epithelial cancer and the supporting stroma. Special emphasis has been placed on methods of non linear optical (NLO) microscopy image processing such as: second harmonic to autofluorescence ageing index of dermis (SAAID), tumor-associated collagen signatures (TACS), fast Fourier trans-form (FFT) analysis, and gray level co-occurrence matrix (GLCM)-based methods. These strategies are presented as a set of potential valuable diagnostic tools for early cancer detection. It may be proposed that the combination of NLO microscopy and informatics based image analysis approaches described in this review (all carried out on free software) may represent a powerful tool to investigate collagen organization and remodeling of extracellular matrix in carcinogenesis processes.
Subject: Anisotropia
Colágeno
Mamas - Câncer
Carcinogênese
Anisotropy
Collagen
Breast - Cancer
Carcinogenesis
Country: Reino Unido
Editor: Sage Publications
Rights: fechado
Identifier DOI: 10.4137/CIN.S12419
Address: https://journals.sagepub.com/doi/10.4137/CIN.S12419
Date Issue: 2014
Appears in Collections:IFGW - Artigos e Outros Documentos
IB - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
2-s2.0-84898761610.pdf3.15 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.