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Authors: Shirin Nasr-Esfahani 1 ; Venkatesan Muthukumar 2 ; Emma E. Regentova 2 ; Kazem Taghva 1 and Mohamed B. Trabia 3

Affiliations: 1 Department of Computer Science, University of Nevada, Las Vegas, U.S.A. ; 2 Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, U.S.A. ; 3 Department of Mechanical Engineering, University of Nevada, Las Vegas, U.S.A.

Keyword(s): Biology, Confocal, Dark-field, Fluorescence, Hyperspectral Microscope Imaging (HMI), Medicine.

Abstract: Hyperspectral imaging (HSI) has found applications in remote sensing, agriculture, medicine, and biology. HSI acquires a three-dimensional dataset called hypercube, with two spatial dimensions and one spectral dimension. Hyperspectral microscope imaging (HMI) is an emerging imaging spectroscopy technology, which combines the advantages of HSI with microscopic imaging; HSI provides rapid, nondestructive, and chemical free data analysis, whereas a microscope can be used to study microstructure of a sample such as nanoparticles. Integration of HSI and microscopy, results in nondestructive evaluation using both spatial and spectral information along with analysis at the molecular or cellular level. The aim of the survey is an overview of the recent applications for HMI in medicine and biology fields.

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Paper citation in several formats:
Nasr-Esfahani, S.; Muthukumar, V.; Regentova, E.; Taghva, K. and Trabia, M. (2021). Hyperspectral Methods in Microscopy Image Analysis: A Survey. In Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - SIGMAP; ISBN 978-989-758-525-8; ISSN 2184-9471, SciTePress, pages 111-119. DOI: 10.5220/0010646701110119

@conference{sigmap21,
author={Shirin Nasr{-}Esfahani. and Venkatesan Muthukumar. and Emma E. Regentova. and Kazem Taghva. and Mohamed B. Trabia.},
title={Hyperspectral Methods in Microscopy Image Analysis: A Survey},
booktitle={Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - SIGMAP},
year={2021},
pages={111-119},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010646701110119},
isbn={978-989-758-525-8},
issn={2184-9471},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - SIGMAP
TI - Hyperspectral Methods in Microscopy Image Analysis: A Survey
SN - 978-989-758-525-8
IS - 2184-9471
AU - Nasr-Esfahani, S.
AU - Muthukumar, V.
AU - Regentova, E.
AU - Taghva, K.
AU - Trabia, M.
PY - 2021
SP - 111
EP - 119
DO - 10.5220/0010646701110119
PB - SciTePress