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DTSTAMP:20200927T060559Z
SUMMARY:Cell Detection by Functional Inverse Diffusion and Nonnegative Gr
oup Sparsity
DESCRIPTION:On August 28\, 2018\, a Stockholm-based biotech company launc
hed a new product: The Mabtech IRISTM\, a next-generation FluoroSpot and
ELISpot reader. The reader is a machine designed to analyze a type of b
iomedical image-based assays that are commonly used in immunology to stu
dy cell responses. The heart of this machine is an inverse problem and a
n algorithm that we developed at KTH in 2015.\n\nThe presentation will o
utline the problem of analyzing FluoroSpot assays from a signal processi
ng perspective and explain the methods we designed to solve it. The prob
lem essentially amounts to counting\, localizing and quantifying heterog
eneous diffuse spots in an image. The solution involves components such
as the development of a tractable linear model from the physical propert
ies that govern the reaction-diffusion-adsorption-desorption process in
the assay\; the formulation of an inverse problem in function spaces and
its discretized approximation\; the role of group sparsity in finding a
plausible solution to an otherwise ill-posed problem\; and how to effic
iently solve the resulting 40 million variable optimization problem on a
GPU.\n\n
LOCATION:F11
DTSTART:20190405T090000Z
DTEND:20190405T100000Z
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