Hyperspectral Methods in Microscopy Image Analysis: A Survey

Shirin Nasr-Esfahani, Venkatesan Muthukumar, Emma Regentova, Kazem Taghva, Mohamed Trabia

2021

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.

Paper Citation

in Harvard Style

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 - Volume 1: SIGMAP, ISBN 978-989-758-525-8, pages 111-119. DOI: 10.5220/0010646701110119

in Bibtex Style

@conference{sigmap21,
author={Shirin Nasr-Esfahani and Venkatesan Muthukumar and Emma Regentova and Kazem Taghva and Mohamed Trabia},
title={Hyperspectral Methods in Microscopy Image Analysis: A Survey},
booktitle={Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP,},
year={2021},
pages={111-119},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010646701110119},
isbn={978-989-758-525-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP,
TI - Hyperspectral Methods in Microscopy Image Analysis: A Survey
SN - 978-989-758-525-8
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