A hybrid CMOS/Microfluidic microsystem is presented. The microsystem integrates a soft polymer microfluidic
network with a 64x128 pixel imager fabricated in low-cost standard 0.35 micron CMOS technology. The multiple
microfluidic channels facilitate in-situ photochemical reactions of analytes and their detection directly on the
surface of the CMOS photosensor array. The promixity between the analyte and the photosensor enhances
the microsystem sensitivity, thus requiring only microliter volumes of the sample. Circuit techniques such as
pixel binning and a two transistor reset path technique are employed to improve the imager sensitivity. The
integrated microsystem is validated in on-chip chemiluminescence detection of luminol for the two microfluidic
network prototypes designed.
Kernel-based pattern recognition paradigms such as support vector machines (SVM) require computationally intensive feature extraction methods for high-performance real-time object detection in video. The CMOS sensory parallel processor architecture presented here computes delta-sigma (ΔΣ)-modulated Haar wavelet transform on the focal plane in real time. The active pixel array is integrated with a bank of column-parallel first-order incremental oversampling analog-to-digital converters (ADCs). Each ADC performs distributed spatial focal-plane sampling and concurrent weighted average quantization. The architecture is benchmarked in SVM face detection on the MIT CBCL data set. At 90% detection rate, first-level Haar wavelet feature extraction yields a 7.9% reduction in the number of false positives when compared to classification with no feature extraction. The architecture yields 1.4 GMACS simulated computational throughput at SVGA imager resolution at 8-bit output depth.
Simultaneous mapping of multiple electrical or chemical properties of
neural activity facilitates understanding neurological phenomena and
their underlying mechanisms. We present a track-and-hold potentiostat
performing simultaneous acquisition of 16 independent channels of
current ranging five orders of magnitude in dynamic range over four
scales down to hundreds of picoamperes. Sampling rate ranges from DC
to 200KHz. The system features programmable current gain control,
configurable anti-aliasing log-domain filter, triggered current
integration and provides differential output ready for asynchronous
external analog-to-digital conversion over a compressed dynamic range.
We present system description, circuit implementation and experimental
results of real-time neurotransmitter concentration measurements from
the 16-channel prototype fabricated in a 1.2 micron CMOS process.
Conference Committee Involvement (4)
Bioelectronics, Biomedical, and Bio-inspired Systems
19 April 2011 | Prague, Czech Republic
Bioengineered and Bioinspired Systems
4 May 2009 | Dresden, Germany
Bioengineered and Bioinspired Systems II
9 May 2005 | Sevilla, Spain
Bioengineered and Bioinspired Systems
19 May 2003 | Maspalomas, Gran Canaria, Canary Islands, Spain
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