Nonlinear Optical Microscopy Signal Processing Strategies in Cancer
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:...
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2014-01-01
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Series: | Cancer Informatics |
Online Access: | https://doi.org/10.4137/CIN.S12419 |
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doaj-3ee7d057a23a4572b3728ec6c5bc06cc2020-11-25T03:43:39ZengSAGE PublishingCancer Informatics1176-93512014-01-011310.4137/CIN.S12419Nonlinear Optical Microscopy Signal Processing Strategies in CancerJavier Adur0Hernandes F. Carvalho1Carlos L. Cesar2Victor H. Casco3INFABiC—National Institute of Science and Technology on Photonics Applied to Cell Biology, Campinas, São Paulo, Brazil.INFABiC—National Institute of Science and Technology on Photonics Applied to Cell Biology, Campinas, São Paulo, Brazil.INFABiC—National Institute of Science and Technology on Photonics Applied to Cell Biology, Campinas, São Paulo, Brazil.Microscopy Laboratory Applied to Molecular and Cellular Studies, Bioengineering School, National University of Entre Rios, Oro Verde, Entre Rios, Argentina.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 transform (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.https://doi.org/10.4137/CIN.S12419 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Javier Adur Hernandes F. Carvalho Carlos L. Cesar Victor H. Casco |
spellingShingle |
Javier Adur Hernandes F. Carvalho Carlos L. Cesar Victor H. Casco Nonlinear Optical Microscopy Signal Processing Strategies in Cancer Cancer Informatics |
author_facet |
Javier Adur Hernandes F. Carvalho Carlos L. Cesar Victor H. Casco |
author_sort |
Javier Adur |
title |
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer |
title_short |
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer |
title_full |
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer |
title_fullStr |
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer |
title_full_unstemmed |
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer |
title_sort |
nonlinear optical microscopy signal processing strategies in cancer |
publisher |
SAGE Publishing |
series |
Cancer Informatics |
issn |
1176-9351 |
publishDate |
2014-01-01 |
description |
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 transform (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. |
url |
https://doi.org/10.4137/CIN.S12419 |
work_keys_str_mv |
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