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DTSTAMP:20260422T000605Z
LOCATION:DEF Concourse
DTSTART;TZID=America/Denver:20231116T100000
DTEND;TZID=America/Denver:20231116T170000
UID:submissions.supercomputing.org_SC23_sess300_spostg125@linklings.com
SUMMARY:Lossy and Lossless Compression for BioFilm Optical Coherence Tomog
 raphy (OCT)
DESCRIPTION:Max Faykus (Clemson University)\n\nOptical Coherence Tomograph
 y (OCT) can be used as a fast and non-destructive technology for bacterial
  biofilm imaging.  However, OCT generates approximately 100 GB per flow ce
 ll, which complicates storage and data sharing. Data reduction can reduce 
 data complications by reducing the overhead and the amount of data transfe
 rred. This work leverages the similarities between layers of OCT images to
  minimize the data in order to improve compression. This paper evaluates t
 he 5 lossless and 2 lossy state-of-the-art compressors to reduce the OCT d
 ata.  The reduction techniques are evaluated to determine which compressor
  has the most significant compression ratio while maintaining a strong ban
 dwidth and minimal image distortion.  Results show that SZ with frame befo
 re pre-processing is able to achieve the highest CR of 204.6x on its highe
 r error bounds. The maximum compression bandwidth SZ on higher error bound
 s is ~41MB/s, for decompression bandwidth, it is able to outperform ZFP ac
 hieving.\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pas
 s\n\n
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