Recent trends in smartphone-based detection for biomedical applications: a review

Banik, Soumyabrata and Melanthota, Sindhoora Kaniyala and Arbaaz, . and Vaz, Joel Markus and Kadambalithaya, Vishak Madhwaraj and Hussain, Iftak and et al, . (2021) Recent trends in smartphone-based detection for biomedical applications: a review. Springer Science and Business Media Deutschland GmbH.

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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 not available: see fulltext.] © 2021, The Author(s).

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Item Type: Other
Additional Information: We thank Dr. K. Satyamoorthy, Director, Manipal School of Life Sciences, Manipal, for his encouragement. The authors thank Dr. K. K. Mahato, Head of Department of Biophysics, MSLS, for his constant support and Manipal Academy of Higher Education , Manipal, India, for providing the infrastructure needed.
Uncontrolled Keywords: Deep learning; Diagnostics; Fluorescence imaging; Immunoassay; Optical microscopy; Smartphone
Subjects: Biomedical Engineering
Divisions: Department of Biomedical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 22 Sep 2022 11:53
Last Modified: 22 Sep 2022 11:53
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