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PRODID:-//Ben Fortuna//iCal4j 1.0//EN
VERSION:2.0
CALSCALE:GREGORIAN
X-WR-CALNAME:Calendar
BEGIN:VEVENT
DTSTAMP:20220811T013049Z
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 outline the problem of analyzing FluoroSpot assay
s from a signal processing perspective and explain the methods we design
ed to solve it. The problem essentially amounts to counting\, localizing
and quantifying heterogeneous diffuse spots in an image. The solution i
nvolves components such as the development of a tractable linear model f
rom the physical properties that govern the reaction-diffusion-adsorptio
n-desorption process in the assay\; the formulation of an inverse proble
m in function spaces and its discretized approximation\; the role of gro
up sparsity in finding a plausible solution to an otherwise ill-posed pr
oblem\; and how to efficiently solve the resulting 40 million variable o
ptimization problem on a GPU.
\n
\n
LOCATION:F11
DTSTART:20190405T090000Z
DTEND:20190405T100000Z
UID:22cac079-0ae6-4742-aa24-8ccbc5083597
END:VEVENT
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