A team of researchers have developed a novel method that can quickly and automatically detect and monitor microbial contamination in cell therapy products (CTPs) early on during the manufacturing ...
Researchers from Critical Analytics for Manufacturing Personalized-Medicine (CAMP) Interdisciplinary Research Group (IRG) at Singapore-MIT Alliance for Research and Technology (SMART), MIT's research ...
This is the first novel technology that utilises machine learning to analyse unique ultraviolet light “fingerprints” on cell cultures to quickly identify presence of contamination Only requiring a ...
Cultured cells are used extensively in research, manufacturing, and for therapeutic purposes. Unfortunately, a large number of cell lines are mislabeled, contaminated, and misidentified, leading to ...
Mycoplasma contamination is a significant concern in cell culture laboratories, threatening research integrity and generating inaccurate experimental results. MycoFog. Image Credit: Scintica ...
A sterility test for cell therapy products returns yes/no results within 30 minutes for a range of microbial contaminants. Such detection speed is the result of combining machine learning (ML) and ...
Although bioprocessors employ cell cultures to develop new treatments for viral infections, viral contamination can stymy any cell culture-based process, including the development of most any ...
Single cell sorting and isolation are fundamental techniques for analyzing cells. The downstream applications are almost endless and include diverse research fields such as cell engineering, cell line ...
Proton exchange membrane fuel cells (PEMFCs) are emerging as a key technology for clean energy conversion in transport, stationary power and maritime applications. Their performance and durability, ...
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