Prof. Yasser Anis
Cairo University, Faculty of Engineering
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Academic Career Length
21Years (2006-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications8 January 2010 in IEEE Transactions on Automation Science and Engineering
Journal Article
We present a robotic manipulation system for automated selection and transfer of individual living cells to analysis locations. We begin with a commonly used cell transfer technique using glass capillary micropipettes to aspirate and release living cells suspended in liquid growth media. Using vision-based feedback and closed-loop process control, two individual three-axis robotic stages position the micropipette tip in proximity to the cell of interest. The cell is aspirated and the tip is moved to a target location where the cell is dispensed. Computer vision is used to monitor and inspect the success of the dispensing process. In our initial application, the target cell destination is a microwell etched in a fused silica substrate. The system offers a robust and flexible technology for cell selection and manipulation. Applications for this technology include embryonic stem cells transfer, blastomere biopsy, cell patterning, and cell surgery.
Journal Article
Ali IbrahimJPJose I. Padovani
Jose I. PadovaniRHRoger T. Howe
Roger T. HoweYasser AnisIn this paper, we study the parameters that affect the generation of droplets in a microfluidic flow-focusing junction. Droplets are evaluated based on the size and frequency of generation. Droplet size control is essential for microfluidic lab-on-a-chip applications in biology, chemistry, and medicine. We developed a three-dimensional numerical model that can emulate the performance of the physical system. A numerical model can help design droplet-generation chips with new junction geometries, different dispersed and continuous phase types, and different flow rates. Our model uses a conservative level-set method (LSM) to track the interface between two immiscible fluids using a fixed mesh. Water was used for the dispersed phase and mineral oil for the continuous phase. The effects of the continuous-to-dispersed flow rate ratio () and the surfactant concentration on the droplet generation were studied both using the numerical model and experimentally. The numerical model was found to render results that are in good agreement with the experimental ones, which validates the LSM model. The validated numerical model was used to study the time effect of changing on the generated droplet size. Properly timing when the flow rates are changed enables control over the size of the next generated droplet, which is useful for single-droplet size modulation applications.
1 January 2012 in Journal of Biomedical Optics
Journal Article
LKLaimonas Kelbauskas
Laimonas Kelbauskas
Shashaanka AshiliJHJeff Houkal
Jeff Houkal
DSDean Smith
Dean Smith
AMAida Mohammadreza
Aida Mohammadreza
DMDeirdre R. Meldrum
Deirdre R. Meldrum
+9
Intercellular heterogeneity is a key factor in a variety of core cellular processes including proliferation, stimulus response, carcinogenesis, and drug resistance. However, cell-to-cell variability studies at the single-cell level have been hampered by the lack of enabling experimental techniques. We present a measurement platform that features the capability to quantify oxygen consumption rates of individual, non-interacting and interacting cells under normoxic and hypoxic conditions. It is based on real-time concentration measurements of metabolites of interest by means of extracellular optical sensors in cell-isolating microwells of subnanoliter volume. We present the results of a series of measurements of oxygen consumption rates (OCRs) of individual non-interacting and interacting human epithelial cells. We measured the effects of cell-to-cell interactions by using the system’s capability to isolate two and three cells in a single well. The major advantages of the approach are: 1. ratiometric, intensity-based characterization of the metabolic phenotype at the single-cell level, 2. minimal invasiveness due to the distant positioning of sensors, and 3. ability to study the effects of cell-cell interactions on cellular respiration rates.
14 April 2011 in Biomedical Microdevices
Journal Article
Yasser AnisJHJeffrey Houkal
Jeffrey Houkal
MHMark Holl
Mark Holl
RJRoger Johnson
Roger Johnson
DMDeirdre Meldrum
Deirdre Meldrum
12 July 2006 in Journal of Micromechanics and Microengineering
Journal Article
Journal Article
This paper presents a vibration-based electromagnetic energy harvester whose resonance frequency can be adjusted to match that of the excitation. Frequency adjustment is attained by controlling a rotatable arm, with tuning masses, at the tip of a cantilever-type energy harvester, thereby changing the effective mass moment of inertia of the system. The rotatable arm is mounted on a servomotor that is autonomously controlled through a microcontroller and a photo sensor to keep the device at resonance for maximum power generation. A mathematical model is developed to predict the system response for different design parameters and to estimate the generated power. The system is investigated analytically by a distributed-parameter model to study the natural frequency variation and dynamic response. The analytical model is verified experimentally where the frequency is tuned from 8 to 10.25 Hz. A parametric study is performed to study the effect of each parameter on the system behavior.
About Me
Dr. Anis was born in Giza, Egypt. He received the B.S. and M.S. degrees in mechanical engineering from Cairo University, Giza, Egypt in 2001 and 2004, respectively. He received the Ph.D. degree in mechanical engineering from the University of Toronto, Canada, in 2007. His Ph.D. research included the automation of the microassembly of MEMS devices using vision-based feedback control. In 2007, he joined the Center for Ecogenomics at the Biodesign Institute of Arizona State University, first as a postdoctoral fellow (2007-2009) and subsequently as a Assistant Research Scientist (2009-2010). His research included the automation of the micromanipulation of single cells in addition to the development of microfluidic devices providing exquisite flow control for the purpose of live cell manipulation. Since 2010, he has been an Associate Professor of Mechanical Engineering at Cairo University. In 2014, he spent six months as a visiting Assistant Professor at the Electrical Engineering Dept. at Stanford University.
Dr. Anis is a member of the Institute of Electrical and Electronics Engineers (IEEE), its Robotics and Automation Society (IEEE RAS), and the American Society of Mechanical Engineers (ASME). He is also a member of the Industry Technology Research Council at the Academy of Scientific Research & Technology (ASRT) (Since 2015). He has acted as a technical reviewer to many journals, including Lab on a Chip, IEEE Trans. on Automation Science and Eng., IEEE Trans. on Robotics, AS