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

Authors

  • Ting-Wei Su,

    1. Electrical Engineering Department, University of California, P.O. Box 951594, Los Angeles, California 90095; telephone: 310-825-0915; fax: 310-206-4833
    Search for more papers by this author
  • Sungkyu Seo,

    1. Electrical Engineering Department, University of California, P.O. Box 951594, Los Angeles, California 90095; telephone: 310-825-0915; fax: 310-206-4833
    Search for more papers by this author
  • Anthony Erlinger,

    1. Electrical Engineering Department, University of California, P.O. Box 951594, Los Angeles, California 90095; telephone: 310-825-0915; fax: 310-206-4833
    Search for more papers by this author
  • Aydogan Ozcan

    Corresponding author
    1. Electrical Engineering Department, University of California, P.O. Box 951594, Los Angeles, California 90095; telephone: 310-825-0915; fax: 310-206-4833
    2. Biomedical Engineering IDP, University of California, Los Angeles, California
    3. California NanoSystems Institute (CNSI), University of California, Los Angeles, California
    • Electrical Engineering Department, University of California, P.O. Box 951594, Los Angeles, California 90095; telephone: 310-825-0915; fax: 310-206-4833.
    Search for more papers by this author

  • Ting-Wei Su and Sungkyu Seo contributed equally to this study.

Abstract

A high-throughput on-chip imaging platform that can rapidly monitor and characterize various cell types within a heterogeneous solution over a depth-of-field of ∼4 mm and a field-of-view of ∼10 cm2 is introduced. This powerful system can rapidly image/monitor multiple layers of cells, within a volume of ∼4 mL all in parallel without the need for any lenses, microscope-objectives or any mechanical scanning. In this high-throughput lensless imaging scheme, the classical diffraction pattern (i.e., the shadow) of each micro-particle within the entire sample volume is detected in less than a second using an opto-electronic sensor chip. The acquired shadow image is then digitally processed using a custom developed “decision algorithm” to enable both the identification of the particle location in 3D and the characterization of each micro-particle type within the sample volume. Through experimental results, we show that different cell types (e.g., red blood cells, fibroblasts, etc.) or other micro-particles all exhibit uniquely different shadow patterns and therefore can be rapidly identified without any ambiguity using the developed decision algorithm, enabling high-throughput characterization of a heterogeneous solution. This lensfree on chip cell imaging platform shows a significant promise especially for medical diagnostic applications relevant to global health problems, where compact and cost-effective diagnostic tools are urgently needed in resource limited settings. Biotechnol. Bioeng. 2009; 102: 856–868. © 2008 Wiley Periodicals, Inc.

Ancillary