High-throughput virus quantification using cytopathic effect area analysis
Michael J Murphy, Steven Mazur, Elena N Postnikova, Brett P Eaton, Gregory A Kocher, Winston Chu, Matthew G Lackemeyer, Syed Qasim Gilani, Jens H Kuhn, Michael R Holbrook, C Paul Morris, Farshad Moradi Kashkooli · 2026
Read High-throughput virus quantification using cytopathic effect area analysis by Michael J Murphy, Steven Mazur, Elena N Postnikova, Brett P Eaton, Gregory A Kocher, Winston Chu, Matthew G Lackemeyer, Syed Qasim Gilani, Jens H Kuhn, Michael R Holbrook, C Paul Morris, Farshad Moradi Kashkooli (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13614643.txt.
Description
Michael Murphy and co-authors present a faster way to count infectious virus in cell samples in a 2026 paper. Classic assays take days of manual work in large dishes and do not scale to the small wells used by robots.
Their assay photographs each whole well and measures the area where the virus has killed or detached cells. That area gives the amount of infectious virus, and samples outside the range are flagged rather than misread. The team also trained an image model to draw the damaged area on its own. Its results matched careful manual outlining almost exactly. The method offers labs a screening tool that is quicker and less swayed by the person reading it.
Catalog record
| CREATOR | Michael J Murphy, Steven Mazur, Elena N Postnikova, Brett P Eaton, Gregory A Kocher, Winston Chu, Matthew G Lackemeyer, Syed Qasim Gilani, Jens H Kuhn, Michael R Holbrook, C Paul Morris, Farshad Moradi Kashkooli |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 54 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |