Lensfree On-Chip Microscopy and Tomography for Bio-Medical Applications

Overview

Journal IEEE J Sel Top Quantum Electron

Publisher IEEE

Date 2014 Jan 31

PMID 24478572

Citations 13

Authors

Serhan O Isikman

Waheb Bishara

Onur Mudanyali

Ikbal Sencan

Ting-Wei Su

Derek Tseng

Oguzhan Yaglidere

Uzair Sikora

Aydogan Ozcan

Affiliations

Soon will be listed here.

Abstract

Lensfree on-chip holographic microscopy is an emerging technique that offers imaging of biological specimens over a large field-of-view without using any lenses or bulky optical components. Lending itself to a compact, cost-effective and mechanically robust architecture, lensfree on-chip holographic microscopy can offer an alternative toolset addressing some of the emerging needs of microscopic analysis and diagnostics in low-resource settings, especially for telemedicine applications. In this review, we summarize the latest achievements in lensfree optical microscopy based on partially coherent on-chip holography, including portable telemedicine microscopy, cell-phone based microscopy and field-portable optical tomographic microscopy. We also discuss some of the future directions for telemedicine microscopy and its prospects to help combat various global health challenges.

Citing Articles

Advances in Portable Optical Microscopy Using Cloud Technologies and Artificial Intelligence for Medical Applications.

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Computational Portable Microscopes for Point-of-Care-Test and Tele-Diagnosis.

Bian Y, Xing T, Jiao K, Kong Q, Wang J, Yang X Cells. 2022; 11(22).

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High-Precision Lensless Microscope on a Chip Based on In-Line Holographic Imaging.

Huang X, Li Y, Xu X, Wang R, Yao J, Han W Sensors (Basel). 2021; 21(3).

PMID: 33494493 PMC: 7865896. DOI: 10.3390/s21030720.

Holography applications toward medical field: An overview.

Haleem A, Javaid M, Khan I Indian J Radiol Imaging. 2020; 30(3):354-361.

PMID: 33273770 PMC: 7694722. DOI: 10.4103/ijri.IJRI_39_20.

A Quantized CNN-Based Microfluidic Lensless-Sensing Mobile Blood-Acquisition and Analysis System.

Liao Y, Yu N, Tian D, Li S, Li Z Sensors (Basel). 2019; 19(23).

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