Literature DB >> 26193558

Label-free identification of individual bacteria using Fourier transform light scattering.

YoungJu Jo, JaeHwang Jung, Min-Hyeok Kim, HyunJoo Park, Suk-Jo Kang, YongKeun Park.   

Abstract

Rapid identification of bacterial species is crucial in medicine and food hygiene. In order to achieve rapid and label-free identification of bacterial species at the single bacterium level, we propose and experimentally demonstrate an optical method based on Fourier transform light scattering (FTLS) measurements and statistical classification. For individual rod-shaped bacteria belonging to four bacterial species (Listeria monocytogenes, Escherichia coli, Lactobacillus casei, and Bacillus subtilis), two-dimensional angle-resolved light scattering maps are precisely measured using FTLS technique. The scattering maps are then systematically analyzed, employing statistical classification in order to extract the unique fingerprint patterns for each species, so that a new unidentified bacterium can be identified by a single light scattering measurement. The single-bacterial and label-free nature of our method suggests wide applicability for rapid point-of-care bacterial diagnosis.

Entities:  

Year:  2015        PMID: 26193558     DOI: 10.1364/OE.23.015792

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  16 in total

1.  High-throughput label-free flow cytometry based on matched-filter compressive imaging.

Authors:  Cong Ba; William J Shain; Thomas G Bifano; Jerome Mertz
Journal:  Biomed Opt Express       Date:  2018-11-12       Impact factor: 3.732

2.  Holotomography: Refractive Index as an Intrinsic Imaging Contrast for 3-D Label-Free Live Cell Imaging.

Authors:  Doyeon Kim; Sangyun Lee; Moosung Lee; Juntaek Oh; Su-A Yang; YongKeun Park
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

3.  Wavelength-normalized spectroscopic analysis of Staphylococcus aureus and Pseudomonas aeruginosa growth rates.

Authors:  Samantha E McBirney; Kristy Trinh; Annie Wong-Beringer; Andrea M Armani
Journal:  Biomed Opt Express       Date:  2016-09-14       Impact factor: 3.732

4.  Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM).

Authors:  Manuel Bedrossian; Casey Barr; Chris A Lindensmith; Kenneth Nealson; Jay L Nadeau
Journal:  J Vis Exp       Date:  2017-11-01       Impact factor: 1.355

5.  Quantitative assessment of cancer cell morphology and motility using telecentric digital holographic microscopy and machine learning.

Authors:  Van K Lam; Thanh C Nguyen; Byung M Chung; George Nehmetallah; Christopher B Raub
Journal:  Cytometry A       Date:  2017-12-28       Impact factor: 4.355

6.  Rapid Detection of Urinary Tract Infection in 10 min by Tracking Multiple Phenotypic Features in a 30 s Large-Volume Scattering Video of Urine Microscopy.

Authors:  Fenni Zhang; Manni Mo; Jiapei Jiang; Xinyu Zhou; Michelle McBride; Yunze Yang; Kenta S Reilly; Thomas E Grys; Shelley E Haydel; Nongjian Tao; Shaopeng Wang
Journal:  ACS Sens       Date:  2022-08-05       Impact factor: 9.618

7.  Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples.

Authors:  Shan Chen; Yu-Wen Su; Junjie Sun; Tingting Chen; Yuhao Zheng; Lin-Jie Sui; Shuangli Yang; Chenbin Liu; Pengcheng Wang; Tengfei Li; Qinghua Chi; Hao Sun; Jinghu Chen; Bo-Qun Xu; Zongxiong Huang; Yimin Fang
Journal:  Proc Natl Acad Sci U S A       Date:  2022-09-26       Impact factor: 12.779

8.  Reconstruction of Optical Vector-Fields With Applications in Endoscopic Imaging.

Authors:  Milana Gataric; George S D Gordon; Francesco Renna; Alberto Gil C P Ramos; Maria P Alcolea; Sarah E Bohndiek
Journal:  IEEE Trans Med Imaging       Date:  2018-10-12       Impact factor: 10.048

9.  Low-coherent optical diffraction tomography by angle-scanning illumination.

Authors:  KyeoReh Lee; Seungwoo Shin; Zahid Yaqoob; Peter T C So; YongKeun Park
Journal:  J Biophotonics       Date:  2019-01-28       Impact factor: 3.207

10.  Holographic deep learning for rapid optical screening of anthrax spores.

Authors:  YoungJu Jo; Sangjin Park; JaeHwang Jung; Jonghee Yoon; Hosung Joo; Min-Hyeok Kim; Suk-Jo Kang; Myung Chul Choi; Sang Yup Lee; YongKeun Park
Journal:  Sci Adv       Date:  2017-08-04       Impact factor: 14.136

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