Literature DB >> 22875178

Optofluidic device for label-free cell classification from whole blood.

Tsung-Feng Wu1, Zhe Mei, Yu-Hwa Lo.   

Abstract

We demonstrated a unique optofluidic lab-on-a-chip device that can measure optically encoded forward scattering signals. From the design of the spatial pattern, we can measure the position and velocity of each cell in the flow and generate a 2-D cell distribution plot over the cross section of the channel. Moreover, we have demonstrated that the cell distribution is highly sensitive to its size and stiffness. The latter is an important biomarker for cell classification and our method offers a simple and unequivocal method to classify cells by their size and stiffness. We have proved the concept using live and fixed HeLa cells. Due to the stiffness and size difference of neutrophils compared to other types of white blood cells, we have demonstrated detection of neutrophils from other blood cells. Finally, we have performed the test using 5 μL of human blood. In a greatly simplified blood preparation process, skipping the usual steps of anticoagulation, centrifuge, antibody labelling or staining, filtering, etc., we have demonstrated that our device and detection principle can count neutrophils in whole human blood. Our system is compact, inexpensive and simple to fabricate and operate, having a commodity laser diode and a Si PIN photoreceiver as the main pieces of hardware. Although the results are still preliminary, the studies indicate that this optofluidic device holds promise to be a point-of-care and home care device to measure neutrophil concentration, which is the key indicator of the immune functions for cancer patients undergoing chemotherapy.

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Year:  2012        PMID: 22875178      PMCID: PMC3472004          DOI: 10.1039/c2lc40560a

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  27 in total

1.  An optical-coding method to measure particle distribution in microfluidic devices.

Authors:  Tsung-Feng Wu; Zhe Mei; Luca Pion-Tonachini; Chao Zhao; Wen Qiao; Ashkan Arianpour; Yu-Hwa Lo
Journal:  AIP Adv       Date:  2011-06-29       Impact factor: 1.548

2.  Retention of leukocytes in capillaries: role of cell size and deformability.

Authors:  G P Downey; D E Doherty; B Schwab; E L Elson; P M Henson; G S Worthen
Journal:  J Appl Physiol (1985)       Date:  1990-11

Review 3.  Blood-on-a-chip.

Authors:  Mehmet Toner; Daniel Irimia
Journal:  Annu Rev Biomed Eng       Date:  2005       Impact factor: 9.590

Review 4.  Microfluidic diagnostic technologies for global public health.

Authors:  Paul Yager; Thayne Edwards; Elain Fu; Kristen Helton; Kjell Nelson; Milton R Tam; Bernhard H Weigl
Journal:  Nature       Date:  2006-07-27       Impact factor: 49.962

5.  Cell mechanics using atomic force microscopy-based single-cell compression.

Authors:  Valentin Lulevich; Tiffany Zink; Huan-Yuan Chen; Fu-Tong Liu; Gang-Yu Liu
Journal:  Langmuir       Date:  2006-09-12       Impact factor: 3.882

6.  Sheathless inertial cell ordering for extreme throughput flow cytometry.

Authors:  Soojung Claire Hur; Henry Tat Kwong Tse; Dino Di Carlo
Journal:  Lab Chip       Date:  2009-12-18       Impact factor: 6.799

7.  Single cell impedance cytometry for identification and counting of CD4 T-cells in human blood using impedance labels.

Authors:  David Holmes; Hywel Morgan
Journal:  Anal Chem       Date:  2010-02-15       Impact factor: 6.986

8.  Deformability based cell margination--a simple microfluidic design for malaria-infected erythrocyte separation.

Authors:  Han Wei Hou; Ali Asgar S Bhagat; Alvin Guo Lin Chong; Pan Mao; Kevin Shyong Wei Tan; Jongyoon Han; Chwee Teck Lim
Journal:  Lab Chip       Date:  2010-08-05       Impact factor: 6.799

9.  Human mammalian cell sorting using a highly integrated micro-fabricated fluorescence-activated cell sorter (microFACS).

Authors:  Sung Hwan Cho; Chun H Chen; Frank S Tsai; Jessica M Godin; Yu-Hwa Lo
Journal:  Lab Chip       Date:  2010-04-09       Impact factor: 6.799

Review 10.  Microfluidics and photonics for Bio-System-on-a-Chip: a review of advancements in technology towards a microfluidic flow cytometry chip.

Authors:  Jessica Godin; Chun-Hao Chen; Sung Hwan Cho; Wen Qiao; Frank Tsai; Yu-Hwa Lo
Journal:  J Biophotonics       Date:  2008-10       Impact factor: 3.207

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  5 in total

1.  Label-free Optofluidic Cell Classifier Utilizing Support Vector Machines.

Authors:  Tsung-Feng Wu; Zhe Mei; Yu-Hwa Lo
Journal:  Sens Actuators B Chem       Date:  2013-09       Impact factor: 7.460

2.  Computational cell analysis for label-free detection of cell properties in a microfluidic laminar flow.

Authors:  Alex Ce Zhang; Yi Gu; Yuanyuan Han; Zhe Mei; Yu-Jui Chiu; Lina Geng; Sung Hwan Cho; Yu-Hwa Lo
Journal:  Analyst       Date:  2016-06-20       Impact factor: 4.616

3.  Miniaturized, multiplexed readout of droplet-based microfluidic assays using time-domain modulation.

Authors:  Melaku Muluneh; Bawul Kim; Gershon Buchsbaum; David Issadore
Journal:  Lab Chip       Date:  2014-10-14       Impact factor: 6.799

4.  Classification of biological micro-objects using optical coherence tomography: in silico study.

Authors:  Paweł Ossowski; Maciej Wojtkowski; Peter Rt Munro
Journal:  Biomed Opt Express       Date:  2017-07-10       Impact factor: 3.732

5.  Universally applicable three-dimensional hydrodynamic microfluidic flow focusing.

Authors:  Yu-Jui Chiu; Sung Hwan Cho; Zhe Mei; Victor Lien; Tsung-Feng Wu; Yu-Hwa Lo
Journal:  Lab Chip       Date:  2013-05-07       Impact factor: 6.799

  5 in total

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