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X-ORIGINAL-URL:https://strobe.colorado.edu/
X-WR-CALNAME:STROBE
X-WR-CALDESC:Building the Microscopes of Tomorrow
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
DTSTART;TZID=America/Denver:20200212T130000
DTEND;TZID=America/Denver:20200212T130000
DTSTAMP:20200613T074300
UID:MEC-0bc10d8a74dbafbf242e30433e83aa56@strobe.colorado.edu
CREATED:20200613
LAST-MODIFIED:20200613
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:STROBE Seminar: Dr. Mary Scott, “Towards Automated Information Extraction from High Resolution Transmission Electron Microscopy Images”
DESCRIPTION:Transmission electron microscopy (TEM) is the characterization method of choice to observe the atomic-scale and microstructural local features within materials that play a critical role in material performance. However, a bottleneck exists between image acquisition and the extraction of relevant information that can be used in a materials design feedback loop. While image analysis of individual images can easily identify regions of interest and determine whether they contain defects, it is prohibitively time-consuming to manually perform this analysis on large numbers of images. Advances in machine learning and computer vision have made high accuracy automated image interpretation possible. Here, we present application of machine learning and other high-throughput methods to TEM images for nanoparticle identification and microstructural characterization. \n
URL:https://strobe.colorado.edu/news-events/events/strobe-seminar-dr-mary-scott-towards-automated-information-extraction-from-high-resolution-transmission-electron-microscopy-images/
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