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2009-2010 Bulletin – PDF - SEAS Bulletin - Columbia University

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sues; cell mechanics; and mixture theory<br />

for biological tissues with experiments<br />

and computational analysis (Ateshian).<br />

The Hone group is involved in a number<br />

of projects that employ the tools of<br />

micro- and nano-fabrication toward the<br />

study of biological systems. With collaborators<br />

in biology and applied physics,<br />

the group has developed techniques to<br />

fabricate metal patterns on the molecular<br />

scale (below 10 nanometers) and attach<br />

biomolecules to create biofunctionalized<br />

nanoarrays. The group is currently using<br />

these arrays to study molecular recognition,<br />

cell spreading, and protein crystallization.<br />

Professor Hone is a co-PI of the<br />

NIH-funded Nanotechnology Center for<br />

Mechanics in Regenerative Medicine,<br />

which seeks to understand and modify<br />

at the nanoscale force- and geometrysensing<br />

pathways in health and disease.<br />

The Hone group fabricates many of the<br />

tools used by the center to measure and<br />

apply force on a cellular level. (Hone)<br />

In the area of molecular bioengineering,<br />

proteins are engineered to understand<br />

their mechanical effects on stem<br />

cell differentiation. Molecular motors are<br />

designed and engineered computationally<br />

and experimentally to identify key<br />

structural elements of motor functions.<br />

Fluorescent labels are added to the molecules<br />

of interest to follow their dynamics<br />

in living cells and to correlate their<br />

mechanical characteristics with the<br />

process of stem cell differentiation. (Liao)<br />

Microelectromechanical systems<br />

(MEMS) are being exploited to enable<br />

and facilitate the characterization and<br />

manipulation of biomolecules. MEMS<br />

technology allows biomolecules to be<br />

studied in well-controlled micro/nanoenvironments<br />

of miniaturized, integrated<br />

devices, and may enable novel biomedical<br />

investigations not attainable by<br />

conventional techniques. The research<br />

interests center on the development of<br />

MEMS devices and systems for labelfree<br />

manipulation and interrogation of<br />

biomolecules. Current research efforts<br />

primarily involve microfluidic devices that<br />

exploit specific and reversible, stimulusdependent<br />

binding between biomolecules<br />

and receptor molecules to enable<br />

selective purification, concentration, and<br />

label-free detection of nucleic acid, protein,<br />

and small molecule analytes; miniaturized<br />

instruments for label-free characterization<br />

of thermodynamic and other<br />

physical properties of biomolecules; and<br />

subcutaneously implantable MEMS affinity<br />

biosensors for continuous monitoring<br />

of glucose and other metabolites (Lin).<br />

The advanced robotics and mechanism<br />

application lab (ARMA) is focused<br />

on surgical intervention using novel<br />

robotic architectures. Examples of these<br />

architectures include flexible snakelike<br />

robots, parallel robots, and cooperative<br />

robotic systems. The current research<br />

activity is focused on providing safer<br />

and deeper interaction with the anatomy<br />

using minimally invasive approaches,<br />

surgery through natural orifices, surgical<br />

task planning based on dexterity and<br />

performance measures, and manipulation<br />

of flexible organs. The ongoing<br />

funded research projects include NIHfunded<br />

grants on designing next-generation<br />

robotic slaves for incisionless surgical<br />

intervention (surgery through natural<br />

opening); minimally invasive surgery<br />

for the throat and upper airways; imageguided<br />

insertable robotic platforms for<br />

less invasive surgery (surgery that is<br />

carried out using a single incision in the<br />

abdomen); and robotic assistance for<br />

cochlear implant surgery (NSF funded,<br />

Simaan).<br />

Mass radiological triage is critical<br />

after a large-scale radiological event<br />

because of the need to identify those<br />

individuals who will benefit from medical<br />

intervention as soon as possible. The<br />

goal of the ongoing NIH-funded research<br />

project is to design a prototype of a fully<br />

automated, ultra high throughput biodosimetry.<br />

This prototype is supposed<br />

to accommodate multiple assay preparation<br />

protocols that allow the determination<br />

of the levels of radiation exposure<br />

that a patient received. The input to<br />

this fully autonomous system is a large<br />

number of capillaries filled with blood of<br />

patients collected using finger sticks.<br />

These capillaries are processed by the<br />

system to distill the micronucleus assay<br />

in lymphocytes, with all the assays being<br />

carried out in situ in multi-well plates.<br />

The research effort on this project<br />

involves the automation system design<br />

and integration including hierarchical<br />

control algorithms, design and control of<br />

custom built robotic devices, and automated<br />

image acquisition and processing<br />

for sample preparation and analysis<br />

(Simaan, Yao).<br />

A technology that couples the power<br />

of multidimensional microscopy (three<br />

spatial dimensions, time, and multiple<br />

wavelengths) with that of DNA array<br />

technology is investigated in an NIH-funded<br />

project. Specifically, a system is developed<br />

in which individual cells selected<br />

on the basis of optically detectable<br />

multiple features at critical time points in<br />

dynamic processes can be rapidly and<br />

robotically micromanipulated into reaction<br />

chambers to permit amplified DNA<br />

synthesis and subsequent array analysis.<br />

Customized image processing and<br />

pattern recognition techniques are<br />

developed, including Fisher’s linear discriminant<br />

preprocessing with neural net,<br />

a support vector machine with improved<br />

training, multiclass cell detection with<br />

error correcting output coding, and kernel<br />

principal component analysis (Yao).<br />

Facilities for Teaching and Research<br />

The undergraduate laboratories, occupying<br />

an area of approximately 6,000<br />

square feet of floor space, are the site of<br />

experiments ranging in complexity from<br />

basic instrumentation and fundamental<br />

exercises to advanced experiments in<br />

such diverse areas as automatic controls,<br />

heat transfer, fluid mechanics, stress<br />

analysis, vibrations, microcomputerbased<br />

data acquisition, and control of<br />

mechanical systems.<br />

Equipment includes microcomputers<br />

and microprocessors, analog-to-digital<br />

and digital-to-analog converters, lasers<br />

and optics for holography and interferometry,<br />

a laser-Doppler velocimetry system,<br />

a Schlieren system, dynamic strain<br />

indicators, a servohydraulic material<br />

testing machine, a photoelastic testing<br />

machine, an internal combustion engine,<br />

a dynamometer, subsonic and supersonic<br />

wind tunnels, a cryogenic apparatus,<br />

computer numerically controlled vertical<br />

machine centers (VMC), a coordinate<br />

measurement machine (CMM), and a<br />

rapid prototyping system. A CNC wire<br />

electrical discharge machine (EDM) is<br />

also available for the use of specialized<br />

projects for students with prior arrangement.<br />

The undergraduate laboratory also<br />

houses experimental setups for the<br />

177<br />

<strong>SEAS</strong> <strong>2009</strong>–<strong>2010</strong>

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