BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Information Systems Group - ECPv6.4.0.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Information Systems Group
X-ORIGINAL-URL:https://isg.ics.uci.edu
X-WR-CALDESC:Events for Information Systems Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20240310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20241103T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240301T130000
DTEND;TZID=America/Los_Angeles:20240301T140000
DTSTAMP:20260419T174222
CREATED:20240228T200048Z
LAST-MODIFIED:20240228T200048Z
UID:1685-1709298000-1709301600@isg.ics.uci.edu
SUMMARY:Yunyan Ding: Efficient Mouse Brain Image Processing Using Collaborative Data Workflows on Texera
DESCRIPTION:Abstract:\nIn the field of neuroscience\, accurately mapping the complex three-dimensional (3D) neural circuitry and architecture of the brain is crucial for advancing our understanding of brain functions and disorders. In this study\, we introduce a distributed computational pipeline designed for processing high-resolution mouse brain tile images captured by TissueCyte. This pipeline efficiently and accurately stitches these tiles and stacks 2D sections to construct detailed whole mouse brain models in 3D. Our high-quality 3D volumes can facilitate secondary analyses such as whole-brain 3-dimensional registration and segmentation\, cell counting\, and high-resolution volumetric visualization. By utilizing specialized optimization methods within Texera platform to distribute computational resources\, our pipeline achieves an over 80\% reduction in processing times\, enhancing the efficiency significantly. Additionally\, this pipeline is designed with scalability and flexibility\, enabling it to process large volumes of high-resolution neuroimaging data across various computational environments. Our work is developed through a collaborative effort among neuroscience\, computer vision\, and data processing teams\, exemplifying the power of creating tools for interdisciplinary collaboration in addressing complex research challenges.\n\nBio:\nYunyan Ding is a second-year Ph.D. student in the Computer Science Department at UC Irvine. Her research interests include data processing systems and big data analytics.
URL:https://isg.ics.uci.edu/event/yunyan-ding-efficient-mouse-brain-image-processing-using-collaborative-data-workflows-on-texera/
LOCATION:DBH 4011
END:VEVENT
END:VCALENDAR