Ting-Wei Su and Sungkyu Seo contributed equally to this study.
High-throughput lensfree imaging and characterization of a heterogeneous cell solution on a chip†
Article first published online: 8 SEP 2008
Copyright © 2008 Wiley Periodicals, Inc.
Biotechnology and Bioengineering
Volume 102, Issue 3, pages 856–868, 15 February 2009
How to Cite
Su, T.-W., Seo, S., Erlinger, A. and Ozcan, A. (2009), High-throughput lensfree imaging and characterization of a heterogeneous cell solution on a chip. Biotechnol. Bioeng., 102: 856–868. doi: 10.1002/bit.22116
- Issue published online: 17 DEC 2008
- Article first published online: 8 SEP 2008
- Accepted manuscript online: 8 SEP 2008 12:00AM EST
- Manuscript Accepted: 2 SEP 2008
- Manuscript Revised: 27 AUG 2008
- Manuscript Received: 4 MAY 2008
- on-chip imaging;
- lensfree—lensless imaging;
- high-throughput cytometry;
- cell counting;
- point-of-care devices;
- global health
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.