Researchers at EPFL (Lausanne, Switzerland) recently developed a novel nanophotonic sensor array which could someday be used in routine environmental sensing and point-of-care diagnostics. The new image-based sensor leverages wide-field QCL imaging and functionalized nanofabricated metasurfaces to perform massively parallel sensing of protein and polymer mixture monolayers.
Researchers at the Ruhr University Bochum (Bochum, Germany) took a major step towards the clinical translation of mid-IR imaging. In a 110 patient feasibility study, the researchers used wide-field QCL microscopy combined with machine learning to automatically detect Stage II and III colorectal cancer in large (cm) unstained biopsied tissue sections in less than 30 minutes. The study results showing 96% sensitivity and 100% specificity were found to be independent of instrument and operator and were achieved without the use of tissue microarrays.