Alternative integrations for microfluidic cytometry

Two possible system integration approaches for portable real time cytometry in microfluidic applications are discussed. An ocular mounted linear CMOS image sensor configured for real time detection of particles being transported in microfluidic channels is first described. This system delivers cytometry functionality utilizing standard microfluidic chips and conventional optics. While this approach affords a certain ease of integration, one significant drawback is the singular field of view onto the microfluidic substrate and the reliance on conventional microscopy. However, the microscopy resolution makes possible a simple device capable of determining precise position, size and trajectory information on a per particle basis. A second architecture comprises flip-chip integration of a custom CMOS active pixel sensor aboard a custom microfluidic glass substrate. At the expense of optical resolution, the near field sensor topology obviates the need for conventional microscopy, affords simultaneous multi-channel sensing and takes strides towards cost effective micro total analysis system (uTAS) deployment. The two platforms share a common microcontroller for processing, control and display as well as a unified host-side application programming interface; an approach which will enable side-by-side comparison of the two hardware architectures in real time. The common user interface, a platform independent .NET application, deploys to both desktop and compact framework pocket PC platforms.

[1]  J. Holleman,et al.  Monolithic Integration of a Novel Microfluidic Device with Silicon Light Emitting Diode-Antifuse and Photodetector , 2002, 32nd European Solid-State Device Research Conference.

[2]  Marc Madou,et al.  MEMS-based sample preparation for molecular diagnostics , 2002, Analytical and bioanalytical chemistry.

[3]  Y H Ji Analysis of cellular structure by light scattering measurements in a new cytometer design based on a liquid-core waveguide. , 2006, IEE proceedings. Nanobiotechnology.

[4]  Michael J. Vellekoop,et al.  Near-field optical sensors for particle shape measurements , 2003 .

[5]  Gwo-Bin Lee,et al.  Electrokinetically driven micro flow cytometers with integrated fiber optics for on-line cell/particle detection , 2004 .

[6]  N. Manaresi,et al.  A CMOS chip for individual cell manipulation and detection , 2003, 2003 IEEE International Solid-State Circuits Conference, 2003. Digest of Technical Papers. ISSCC..

[7]  Vijay Namasivayam,et al.  Advances in on-chip photodetection for applications in miniaturized genetic analysis systems , 2004 .

[8]  Anne Y. Fu,et al.  Microfabricated fluorescence-activated cell sorters ([mu]FACS) for screening bacterial cells , 2002 .

[9]  Wael Badawy,et al.  A real-time multiple-cell tracking platform for dielectrophoresis (DEP)-based cellular analysis , 2005 .

[10]  J.S. Harris,et al.  Integrated semiconductor vertical-cavity surface-emitting lasers and PIN photodetectors for biomedical fluorescence sensing , 2004, IEEE Journal of Quantum Electronics.

[11]  Robert Langer,et al.  A BioMEMS review: MEMS technology for physiologically integrated devices , 2004, Proceedings of the IEEE.

[12]  K. Mogensen,et al.  Measurements of scattered light on a microchip flow cytometer with integrated polymer based optical elements. , 2004, Lab on a chip.

[13]  Alexander Fish,et al.  An APS with 2-D winner-take-all selection employing adaptive spatial filtering and false alarm reduction , 2003 .