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Recent trends in smartphone-based detection for biomedical applications: a review
Smartphone-based imaging devices (SIDs) have shown to be versatile and have a wide range of biomedical applications. With the increasing demand for high-quality medical services, technological interventions such as portable devices that can be used in remote and resource-less conditions and have an...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882471/ https://www.ncbi.nlm.nih.gov/pubmed/33586007 http://dx.doi.org/10.1007/s00216-021-03184-z |
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author | Banik, Soumyabrata Melanthota, Sindhoora Kaniyala Arbaaz Vaz, Joel Markus Kadambalithaya, Vishak Madhwaraj Hussain, Iftak Dutta, Sibasish Mazumder, Nirmal |
author_facet | Banik, Soumyabrata Melanthota, Sindhoora Kaniyala Arbaaz Vaz, Joel Markus Kadambalithaya, Vishak Madhwaraj Hussain, Iftak Dutta, Sibasish Mazumder, Nirmal |
author_sort | Banik, Soumyabrata |
collection | PubMed |
description | Smartphone-based imaging devices (SIDs) have shown to be versatile and have a wide range of biomedical applications. With the increasing demand for high-quality medical services, technological interventions such as portable devices that can be used in remote and resource-less conditions and have an impact on quantity and quality of care. Additionally, smartphone-based devices have shown their application in the field of teleimaging, food technology, education, etc. Depending on the application and imaging capability required, the optical arrangement of the SID varies which enables them to be used in multiple setups like bright-field, fluorescence, dark-field, and multiple arrays with certain changes in their optics and illumination. This comprehensive review discusses the numerous applications and development of SIDs towards histopathological examination, detection of bacteria and viruses, food technology, and routine diagnosis. Smartphone-based devices are complemented with deep learning methods to further increase the efficiency of the devices. [Figure: see text] |
format | Online Article Text |
id | pubmed-7882471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-78824712021-02-16 Recent trends in smartphone-based detection for biomedical applications: a review Banik, Soumyabrata Melanthota, Sindhoora Kaniyala Arbaaz Vaz, Joel Markus Kadambalithaya, Vishak Madhwaraj Hussain, Iftak Dutta, Sibasish Mazumder, Nirmal Anal Bioanal Chem Review Smartphone-based imaging devices (SIDs) have shown to be versatile and have a wide range of biomedical applications. With the increasing demand for high-quality medical services, technological interventions such as portable devices that can be used in remote and resource-less conditions and have an impact on quantity and quality of care. Additionally, smartphone-based devices have shown their application in the field of teleimaging, food technology, education, etc. Depending on the application and imaging capability required, the optical arrangement of the SID varies which enables them to be used in multiple setups like bright-field, fluorescence, dark-field, and multiple arrays with certain changes in their optics and illumination. This comprehensive review discusses the numerous applications and development of SIDs towards histopathological examination, detection of bacteria and viruses, food technology, and routine diagnosis. Smartphone-based devices are complemented with deep learning methods to further increase the efficiency of the devices. [Figure: see text] Springer Berlin Heidelberg 2021-02-15 2021 /pmc/articles/PMC7882471/ /pubmed/33586007 http://dx.doi.org/10.1007/s00216-021-03184-z Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Banik, Soumyabrata Melanthota, Sindhoora Kaniyala Arbaaz Vaz, Joel Markus Kadambalithaya, Vishak Madhwaraj Hussain, Iftak Dutta, Sibasish Mazumder, Nirmal Recent trends in smartphone-based detection for biomedical applications: a review |
title | Recent trends in smartphone-based detection for biomedical applications: a review |
title_full | Recent trends in smartphone-based detection for biomedical applications: a review |
title_fullStr | Recent trends in smartphone-based detection for biomedical applications: a review |
title_full_unstemmed | Recent trends in smartphone-based detection for biomedical applications: a review |
title_short | Recent trends in smartphone-based detection for biomedical applications: a review |
title_sort | recent trends in smartphone-based detection for biomedical applications: a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882471/ https://www.ncbi.nlm.nih.gov/pubmed/33586007 http://dx.doi.org/10.1007/s00216-021-03184-z |
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