Literature DB >> 22664383

Lens-free shadow image based high-throughput continuous cell monitoring technique.

Geonsoo Jin1, In-Hwa Yoo, Seung Pil Pack, Ji-Woon Yang, Un-Hwan Ha, Se-Hwan Paek, Sungkyu Seo.   

Abstract

A high-throughput continuous cell monitoring technique which does not require any labeling reagents or destruction of the specimen is demonstrated. More than 6000 human alveolar epithelial A549 cells are monitored for up to 72 h simultaneously and continuously with a single digital image within a cost and space effective lens-free shadow imaging platform. In an experiment performed within a custom built incubator integrated with the lens-free shadow imaging platform, the cell nucleus division process could be successfully characterized by calculating the signal-to-noise ratios (SNRs) and the shadow diameters (SDs) of the cell shadow patterns. The versatile nature of this platform also enabled a single cell viability test followed by live cell counting. This study firstly shows that the lens-free shadow imaging technique can provide a continuous cell monitoring without any staining/labeling reagent and destruction of the specimen. This high-throughput continuous cell monitoring technique based on lens-free shadow imaging may be widely utilized as a compact, low-cost, and high-throughput cell monitoring tool in the fields of drug and food screening or cell proliferation and viability testing.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22664383     DOI: 10.1016/j.bios.2012.05.022

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  11 in total

1.  Wide-field computational color imaging using pixel super-resolved on-chip microscopy.

Authors:  Alon Greenbaum; Alborz Feizi; Najva Akbari; Aydogan Ozcan
Journal:  Opt Express       Date:  2013-05-20       Impact factor: 3.894

2.  Lens-Free Imaging as a Sensor for Dynamic Cell Viability Detection Using the Neutral Red Uptake Assay.

Authors:  Brian J Nablo; Jung-Joon Ahn; Kiran Bhadriraju; Jong Muk Lee; Darwin R Reyes
Journal:  ACS Appl Bio Mater       Date:  2020

3.  High-Speed Lens-Free Holographic Sensing of Protein Molecules Using Quantitative Agglutination Assays.

Authors:  Zhen Xiong; Colin J Potter; Euan McLeod
Journal:  ACS Sens       Date:  2021-02-15       Impact factor: 7.711

4.  Automated Micro-Object Detection for Mobile Diagnostics Using Lens-Free Imaging Technology.

Authors:  Mohendra Roy; Dongmin Seo; Sangwoo Oh; Yeonghun Chae; Myung-Hyun Nam; Sungkyu Seo
Journal:  Diagnostics (Basel)       Date:  2016-05-05

5.  Colony fingerprint for discrimination of microbial species based on lensless imaging of microcolonies.

Authors:  Yoshiaki Maeda; Hironori Dobashi; Yui Sugiyama; Tatsuya Saeki; Tae-Kyu Lim; Manabu Harada; Tadashi Matsunaga; Tomoko Yoshino; Tsuyoshi Tanaka
Journal:  PLoS One       Date:  2017-04-03       Impact factor: 3.240

6.  High-Precision Lens-Less Flow Cytometer on a Chip.

Authors:  Yuan Fang; Ningmei Yu; Yuquan Jiang; Chaoliang Dang
Journal:  Micromachines (Basel)       Date:  2018-05-10       Impact factor: 2.891

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

Authors:  Yumin Liao; Ningmei Yu; Dian Tian; Shuaijun Li; Zhengpeng Li
Journal:  Sensors (Basel)       Date:  2019-11-21       Impact factor: 3.576

8.  Machine Learning Based Single-Frame Super-Resolution Processing for Lensless Blood Cell Counting.

Authors:  Xiwei Huang; Yu Jiang; Xu Liu; Hang Xu; Zhi Han; Hailong Rong; Haiping Yang; Mei Yan; Hao Yu
Journal:  Sensors (Basel)       Date:  2016-11-02       Impact factor: 3.576

9.  High-throughput monitoring of major cell functions by means of lensfree video microscopy.

Authors:  S Vinjimore Kesavan; F Momey; O Cioni; B David-Watine; N Dubrulle; S Shorte; E Sulpice; D Freida; B Chalmond; J M Dinten; X Gidrol; C Allier
Journal:  Sci Rep       Date:  2014-08-06       Impact factor: 4.379

10.  Machine Learning Based Lens-Free Shadow Imaging Technique for Field-Portable Cytometry.

Authors:  Rajkumar Vaghashiya; Sanghoon Shin; Varun Chauhan; Kaushal Kapadiya; Smit Sanghavi; Sungkyu Seo; Mohendra Roy
Journal:  Biosensors (Basel)       Date:  2022-02-27
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.