Just Imaging Flow Cytometry_2019 NIJ R&D_108


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By Just Science and RTI International. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.
In episode ten of the 2019 R&D season, Just Science interviews Dr. Christopher Ehrhardt, professor at Virginia Commonwealth University, about a method for determining tissue type, age of evidence, and contributors from biological mixtures using cellular autofluorescence signatures. It goes without saying that cells collected from different parts of the body look different. Buccal, vaginal, epidermal, and blood cells all have unique intrinsic properties. However, when they are combined, it can be difficult to discern what components are actually in the mixture. Using Imaging Flow Cytometry, Dr. Ehrhardt has found a way to differentiate between cell types, estimate cellular age, and identify contributors in the sample. Listen in as he discusses how autofluorescence data and cellular properties are being used to analyze samples without destroying the evidence in this episode of Just Science. This season is funded by the National Institute of Justice’s Forensic Technology Center of Excellence.

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