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Conference Program - ABRF 2011 - Association of Biomolecular ...

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Research GroupPresentation Abstracts(R6b) Conclusions from the MIRG 2010 BenchmarkStudy: Molecular Interactions in a Three ComponentSystem and Presentation <strong>of</strong> <strong>2011</strong> Survey Results onLabel-Free TechnologiesA.P. Yamniuk 1 , S.P. Yadav 5 , S. Bergqvist 2 , M.L. Doyle 1 ,E. Eisenstein 3 , M.K. Robinson 4 , T. Neubert 61Bristol-Myers Squibb, Princeton, NJ, United States; 2 Pfizer, LaJolla, CA, United States; 3 University Maryland BiotechnologyInstitute, Baltimore, MA, United States; 4 Fox Chase CancerCenter, Philadelphia, PA, United States; 5 Cleveland ClinicFoundation, Cleveland, OH, United States; 6 New YorkUniversity School <strong>of</strong> Medicine, New York, NY, United StatesCharacterizing the assembly <strong>of</strong> multi-protein complexes and thecompetition between multiple protein ligands for a given target arecommon challenges faced by core facilities. The MIRG2010 Benchmarkstudy was designed to assess participants’ ability to correctly describethe interactions between two protein ligands and their target proteinusing primarily biosensor technologies such as surface plasmonresonance. Participants were provided with microgram quantities <strong>of</strong>three proteins (A, B and C) and asked to determine if a ternary A-B-Ccomplex can form, or if ligands B and C bind competitively to proteinA. This presentation will summarize the conclusions from the 2010Benchmark Study, and provide perspective on the potential for futureapplication <strong>of</strong> this system as a reference standard for quantitativecharacterization <strong>of</strong> protein-protein interactions using biosensortechnologies. The field <strong>of</strong> label-free biophysical technologies likesurface plasmon resonance (SPR) and isothermal calorimetry (ITC) arebecoming indispensable in translational research and in the discoveryphase <strong>of</strong> biotherapeutics. Investigators are much more aware about thedevelopments in biomolecular interaction analysis using SPR and ITCand usefulness <strong>of</strong> these technologies in designing better drugs basedon biomolecules and vaccines. The Molecular Interaction ResearchGroup (MIRG) <strong>of</strong> <strong>ABRF</strong> has conducted an on-line survey to capture therecent explosive developments in these technologies. The survey wastargeted to both academia and pharmaceutical industry and the surveydata will be presented during the meeting.(R7) Light Microscopy Research Group (LMRG)(R7-1) Point Spread Functions, Spectral Calibration,and BeyondR. Stack, R. ColeWadsworth Center, New York State Department <strong>of</strong> Health,Albany, NY, United StatesModern light microscopes are highly evolved opto-electronicmechanicaldevices. Establishing instrument performance is crucial inensuring that reliable and accurate images can be acquired. Imagers, aswell as granting agencies, need to be confident that data collected willbe uniform and quantifiable both temporally and from instrument toinstrument. Last year, in phase-one <strong>of</strong> our world-wide research studyon instrument performance, we successfully concentrated our effortson three image-based tests: long and short term stability <strong>of</strong> illuminationsources, uniformity <strong>of</strong> field illumination, and co-registration acrossvarious wavelengths. A manuscript summarizing the phase-one studyhas been submitted to and accepted by Microscopy & Microanalysis,one <strong>of</strong> the highest rated imaging journals. In the coming year, phasetwo<strong>of</strong> our instrument performance study will focus on determining thefollowing: the point spread function <strong>of</strong> an imaging system, the system’sspectral separation ability and the spectral calibration and resolution<strong>of</strong> the detection system. As with the phase-one study, the goal <strong>of</strong> thisstudy will be neither to compare the performance <strong>of</strong> different brands<strong>of</strong> instruments, nor to ascertain which brand had better performancein a given area. Instead, the goal <strong>of</strong> our proposed phase-two study iscontinue to focus on determining the current state <strong>of</strong> modern imagingsystems through straightforward, efficient and robust tests. These testswill aid imagers in the early detection <strong>of</strong> system problems. Moreover,these tests will continue to help define relative standards that will assistboth core personnel and imagers in maintaining their instruments inoptimal operating conditions.(R7-2) Deconvolution: Core Concepts, Algorithmsand Advanced IssuesB. Northan, N. BeaversMedia Cybernetics, Guilderland, NY, United StatesDeconvolution is a computational technique used to remove blurfrom images. In this presentation image formation in the microscopewill be reviewed and it will be explained what deconvolution doesand why deconvolution is needed as a post acquisition processingstep. The concept <strong>of</strong> Point Spread Function (PSF) will be introduced.Several approaches to deconvolution and deblurring exist from simplesubtractive methods to complex iterative approaches. The majorapproaches will be examined. It will be explained why in the presence<strong>of</strong> noise a statistical approach is required. Blind deconvolution will beintroduced. The concept <strong>of</strong> Point Spread Function will be examinedin detail. The effect <strong>of</strong> microscope modality, lens parameters, andspecimen parameters on PSF shape will be discussed. Theoretical PSFcalculation and PSF measurement using beads will be reviewed withexamples. It will be explained why theoretical and measured PSFs candiffer from the true system PSF. Blind deconvolution will be furtherexamined as a tool to deal with the uncertainty <strong>of</strong> the true form <strong>of</strong>the PSF. Practical guidelines for data acquisition will be reviewed. Therelationship between sampling rate and quality <strong>of</strong> deconvolutionresults will be explained.58 • <strong>ABRF</strong> <strong>2011</strong> — Technologies to Enable Personalized Medicine

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