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DTSTART:20200308T030000
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DTSTART:20201101T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260521T105518
UID:154424@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20201030T120000
DTEND;TZID=America/Chicago:20201030T130000
DESCRIPTION:Dr. Laura Waller\, Department of Electrical Engineering/Compute
 r Science\, UC-Berkeley. We describe a compact and inexpensive computation
 al microscope that encodes 3D information into a single 2D sensor measurem
 ent\, then exploits sparsity to reconstruct the volume with good resolutio
 n across a large volume.  Our system uses simple hardware and scalable sof
 tware for easy reproducibility and adoption. The inverse algorithm is base
 d on large-scale nonlinear optimization with self-calibration of aberratio
 ns and we discuss computational optical design approaches for optimizing t
 he syste\n\nONLINE: https://uwmadison.zoom.us/j/97249664921?pwd=SVdmbDZySE
 04U2hXa0hHRXF3KzRRdz09
LOCATION:  (Online)
SUMMARY:Computational 3D Fluorescence Microscopy
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