Literature DB >> 20010542

Lensless on-chip imaging of cells provides a new tool for high-throughput cell-biology and medical diagnostics.

Onur Mudanyali1, Anthony Erlinger, Sungkyu Seo, Ting-Wei Su, Derek Tseng, Aydogan Ozcan.   

Abstract

Conventional optical microscopes image cells by use of objective lenses that work together with other lenses and optical components. While quite effective, this classical approach has certain limitations for miniaturization of the imaging platform to make it compatible with the advanced state of the art in microfluidics. In this report, we introduce experimental details of a lensless on-chip imaging concept termed LUCAS (Lensless Ultra-wide field-of-view Cell monitoring Array platform based on Shadow imaging) that does not require any microscope objectives or other bulky optical components to image a heterogeneous cell solution over an ultra-wide field of view that can span as large as approximately 18 cm(2). Moreover, unlike conventional microscopes, LUCAS can image a heterogeneous cell solution of interest over a depth-of-field of approximately 5 mm without the need for refocusing which corresponds to up to approximately 9 mL sample volume. This imaging platform records the shadows (i.e., lensless digital holograms) of each cell of interest within its field of view, and automated digital processing of these cell shadows can determine the type, the count and the relative positions of cells within the solution. Because it does not require any bulky optical components or mechanical scanning stages it offers a significantly miniaturized platform that at the same time reduces the cost, which is quite important for especially point of care diagnostic tools. Furthermore, the imaging throughput of this platform is orders of magnitude better than conventional optical microscopes, which could be exceedingly valuable for high-throughput cell-biology experiments.

Mesh:

Year:  2009        PMID: 20010542      PMCID: PMC3149969          DOI: 10.3791/1650

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  2 in total

1.  High-throughput lensfree imaging and characterization of a heterogeneous cell solution on a chip.

Authors:  Ting-Wei Su; Sungkyu Seo; Anthony Erlinger; Aydogan Ozcan
Journal:  Biotechnol Bioeng       Date:  2009-02-15       Impact factor: 4.530

2.  Lensfree holographic imaging for on-chip cytometry and diagnostics.

Authors:  Sungkyu Seo; Ting-Wei Su; Derek K Tseng; Anthony Erlinger; Aydogan Ozcan
Journal:  Lab Chip       Date:  2008-12-05       Impact factor: 6.799

  2 in total
  8 in total

1.  Image stacking approach to increase sensitivity of fluorescence detection using a low cost complementary metal-oxide-semiconductor (CMOS) webcam.

Authors:  Joshua Balsam; Hugh Alan Bruck; Yordan Kostov; Avraham Rasooly
Journal:  Sens Actuators B Chem       Date:  2012       Impact factor: 7.460

2.  Lensfree microscopy on a cellphone.

Authors:  Derek Tseng; Onur Mudanyali; Cetin Oztoprak; Serhan O Isikman; Ikbal Sencan; Oguzhan Yaglidere; Aydogan Ozcan
Journal:  Lab Chip       Date:  2010-05-06       Impact factor: 6.799

3.  Digital inline holographic microscopy (DIHM) of weakly-scattering subjects.

Authors:  Camila B Giuliano; Rongjing Zhang; Laurence G Wilson
Journal:  J Vis Exp       Date:  2014-02-08       Impact factor: 1.355

4.  Detection of waterborne parasites using field-portable and cost-effective lensfree microscopy.

Authors:  Onur Mudanyali; Cetin Oztoprak; Derek Tseng; Anthony Erlinger; Aydogan Ozcan
Journal:  Lab Chip       Date:  2010-08-09       Impact factor: 6.799

5.  Cost-effective and compact wide-field fluorescent imaging on a cell-phone.

Authors:  Hongying Zhu; Oguzhan Yaglidere; Ting-Wei Su; Derek Tseng; Aydogan Ozcan
Journal:  Lab Chip       Date:  2010-11-09       Impact factor: 6.799

6.  Bacteria detection with thin wetting 
film lensless imaging.

Authors:  C P Allier; G Hiernard; V Poher; J M Dinten
Journal:  Biomed Opt Express       Date:  2010-08-31       Impact factor: 3.732

Review 7.  CMOS cell sensors for point-of-care diagnostics.

Authors:  Yekbun Adiguzel; Haluk Kulah
Journal:  Sensors (Basel)       Date:  2012-07-25       Impact factor: 3.576

8.  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
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.