Welcome to IBIS Lab!
For current news and updates, see below.
Congratulations, Associate Professor! - July 1, 2008
Effective today, July 1, 2008, Dr. Pamela Abshire has been promoted to rank of Associate Professor.
She joins fellow ECE faculty Thomas Murphy and Jonathan Simon in receiving tenure today.
ECE News Article: Abshire, Murphy, and Simon Earn Tenure
Nelson Designated as Future Faculty Fellow - Jan. 26, 2007
The Future Faculty Program (FFP) has selected graduate student Nicole Nelson as a Future Faculty Fellow.
As a Fellow, Nelson receives a supplementary stipend of $10,000 over the course of the program.
The Future Faculty Program of the Clark School of Engineering at the University of Maryland aims to increase the number of Ph.D. graduates
who obtain faculty positions in top-50 engineering schools by improving their preparation for academic careers. Selected students undertake a
sequence of three training seminars, a teaching practicum and a research mentoring practicum.
Future Faculty Program Application
Undergraduate Chen Selected as NCMR Scholar - Aug. 22, 2006
The National Consortium for MASINT Research (NCMR) has selected undergraduate Eric Ying-Che Chen as an NCMR Scholar. Nominated by
Assistant Professor Pamela Abshire, Chen, who is a senior majoring in electrical engineering and computer science, received a $5,000 scholarship.
Dr. Abshire, who is the principal investigator for a current NCMR research project titled "Integrated Transduction, Actuation, and Control for
Cell-Based Sensing," managed the University of Maryland area of the program this year.
The National Consortium for MASINT Research is a Defense Intelligence Agency program that provides cutting-edge research to the intelligence community.
(MASINT is an acronym for measurement and signals intelligence.) NCMR's brand-new scholarship program was established to encourage future scientists
to consider technical career paths within the intelligence community. The scholarship funds assist promising undergraduate juniors and seniors with
tuition, textbooks, room and board. The awards are for full-time students who are U.S. citizens, and are based on academic merit in selected disciplines.
ISR News Article:
Undergrads Goldman and Chen Selected as NCMR Scholars
ECE News Article: Undergrads Goldman and Chen Selected as NCMR Scholars
MIPS Funding Awarded for Technology Commercialization - Aug. 17, 2006
Quantum Molecular Pharmaceuticals of Bethesda, Maryland, has awarded Dr. Pamela Abshire a total projected funding of $501,597
to assist in developing a new radiation sensor that could significantly reduce the size and cost of positron emission tomography
(PET) scanners. PET is a nuclear medicine medical imaging technique that produces a three-dimensional image of functional processes in the body.
Principal Investigators: Dr. Irving Weinberg, Chairman;
Dr. Pamela Abshire, Director, Integrated Biomorphic Information Systems Lab
ISR News Article: Abshire, Gupta, Liu receive MIPS grants
ECE News Article: ECE Faculty Receive MIPS Funding for Technology Commercialization
First Place Recognition in MERIT Fair 2006 - Aug. 11, 2006
Undergraduate students Harneet Khurana and Eric Chen were awarded first place honors in the Research in Telecommunications category
of the 2006 MERIT Fair. Working with graduate students Nicole Nelson, Marc Dandin and Somashekar Prakash,
the Integrated Biomorphic Information Systems Laboratory is honored to have the work of its undergraduate students and their project
"BioLabs-on-a-Chip: Monitoring Cells Using CMOS Biosensors" recognized as exceptional among the number of outstanding student
research teams and projects showcased during the MERIT Fair.
ECE News Article: MERIT Summer Fair Showcases Undergraduate Research
Congratulations: Honghao Ji, Ph.D.! - Jul. 18, 2006
PhD Dissertation Defense: Honghao Ji
Tuesday, July 18, 2006
Room 2328, A.V.Williams
For More Information:
301 405 8756
The growing interest in analysis of singlex cells or even single molecules analysis has inspired a great deal of research and engineering
in developing low cost, high throughput, and still high sensitivity biosensor systems. This work focuses on integrated CMOS optical sensors
for fluorescence detection and contact imaging.
Among the many sensors available for biological testing and molecular detection, fluorescence-based methods generally achieve the highest
sensitivity and are the most widely used. Conventional fluorescence detection system often use cooled CCD or CMOS optical sensors. We describe
several contributions towards incorporating fluorescence sensing onto to low cost, miniaturized platforms. We first investigated the spectral
responsivities of photodetectors available in a commercially available CMOS process in order to assess the need for additional optical
filtering. Further, we developed a low noise photodetector in a standard CMOS process. Both the reset noise and readout noise of the sensor is
significantly improved compared to a conventional pixel structure widely used for CMOS image sensor. The sensor successfully detected a
concentration of fluorescence indicator 2 orders of magnitude less than the recommended assay concentration for commercial fluorescence
Miniaturized high-throughput biosensor systems for single cell characterization require the ability to steer microscale biological cells to
differentlocations without requiring macroscale imaging systems. One simple and promising approach to building a miniaturized imaging system with
microscale resolution is to directly couple the sensor array with the sample of interest. To investigate this approach, we explore the theoretical
limitations of contact imaging with the aid of an optics simulator. Experimental results confirm the theoretical predictions. Two possible
applications of contact imaging were also demonstrated. We further describe a contact image sensor with improved spatial resolution. A novel
pixel structure is developed for suppressing increased dark current in a commercially available 0.18 um CMOS process. Simple on-chip processing
was implemented to alleviate the need for subsequent image processing for locating small particles.