Journal of Biomedical and Sustainable Healthcare Applications


Advantages, Methods and System Architecture of Spectral Imaging in Biomedical Engineering



Journal of Biomedical and Sustainable Healthcare Applications

Received On : 12 February 2021

Revised On : 30 March 2021

Accepted On : 30 July 2021

Published On : 05 January 2022

Volume 02, Issue 01

Pages : 051-058


Abstract


Spectral imaging combines traditional imaging with spectrometry to obtain both spectral and spatial data from an item. Even though this technique was designed for spatial data, it has now been used in the area of biomedical design as a potent analytical technique for biomedical and pharmaceutical investigations. This overview covers the fundamentals of spectrum imaging, image processing methodologies, current instrumentation, and contemporary biological developments. Biomedical Spectral and Imaging (BSI) technologies' functionality and quantitative capacities for biomedical and pharmaceutical screening are explored. The current successes and limits of these technologies in bioengineering are discussed in depth. The advantages and developments of therapeutic spectrum imaging are presented to give the readers an understanding of current technology advancements and their prospects for clinical study.


Keywords


Biomedical Spectral and Imaging (BSI), Red Green Blue (RGB), Charge-Coupled Device (CDD), Prism-Grating-Prism (PGP)


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Acknowledgements


The authors would like to thank to the reviewers for nice comments on the manuscript.


Funding


Author(s) thanks to Dr.Anandakumar Haldorai for this research completion and support.


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Cite this article


Arulmurugan R and Anandakumar H, “Advantages, Methods and System Architecture of Spectral Imaging in Biomedical Engineering”, Journal of Biomedical and Sustainable Healthcare Applications, vol.2, no.1, pp. 051-058, January 2022. doi: 10.53759/0088/JBSHA202202007.


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© 2022 Arulmurugan R and Anandakumar H. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.