Deep learning‑based image processing in optical microscopy

Melanthota, Sindhoora Kaniyala and Gopal, Dharshini and Chakrabarti, Shweta and Radhakrishnan, Raghu and Mazumder, Nirmal (2022) Deep learning‑based image processing in optical microscopy. Biophysical Reviews, 14. pp. 463-481. ISSN 1867-2450

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Abstract

Optical microscopy has emerged as a key driver of fundamental research since it provides the ability to probe into imperceptible structures in the biomedical world. For the detailed investigation of samples, a high-resolution image with enhanced contrast and minimal damage is preferred. To achieve this, an automated image analysis method is preferable over manual analysis in terms of both speed of acquisition and reduced error accumulation. In this regard, deep learning (DL)- based image processing can be highly benefcial. The review summarises and critiques the use of DL in image processing for the data collected using various optical microscopic techniques. In tandem with optical microscopy, DL has already found applications in various problems related to image classifcation and segmentation. It has also performed well in enhancing image resolution in smartphone-based microscopy, which in turn enablse crucial medical assistance in remote places

Item Type: Article
Uncontrolled Keywords: Optical microscopy; Image processing; Machine learning; Deep learning
Subjects: Dentistry > MCODS Manipal > Oral Pathology and Microbiology
Life Sciences > MLSC Manipal
Depositing User: KMC Library
Date Deposited: 06 Jun 2022 13:39
Last Modified: 06 Jun 2022 13:39
URI: http://eprints.manipal.edu/id/eprint/158802

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