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

J Vis Exp. 2009 Dec 14:(34):1650. doi: 10.3791/1650.

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.

Publication types

  • Video-Audio Media

MeSH terms

  • Cell Biology / instrumentation
  • Cytological Techniques / methods*
  • Diagnostic Imaging / instrumentation
  • Diagnostic Imaging / methods*
  • Image Processing, Computer-Assisted / instrumentation
  • Image Processing, Computer-Assisted / methods*
  • Lab-On-A-Chip Devices*