Thermo Fisher Scientific Proteome Discoverer 3.0 Plus MSAID CHIMERYS Thermo Fisher Scientific and proteomics artificial intelligence software developer MSAID have combined the Thermo Scientific Proteome Discoverer 3.0 software with MSAID's CHIMERYS software to substantially…

Multiplex immunofluorescence and immunohistochemistry benefit patients by allowing cancer pathologists to identify several proteins expressed on the surface of cells, enabling cell classification, better understanding of the tumour micro-environment, more accurate diagnoses, prognoses, and tailored immunotherapy based on the immune status of individual patients. However, they are expensive and time consuming processes which require complex staining and imaging techniques by expert technicians. Hoechst staining is much cheaper and easier to perform, but is not typically used in this case as it binds to DNA rather than to the proteins targeted by immunofluorescent techniques, and it was not previously thought possible to differentiate cells expressing these proteins based only on DNA morphology. In this work we show otherwise, training a deep convolutional neural network to identify cells expressing three proteins (T lymphocyte markers CD3 and CD8, and the B lymphocyte marker CD20) with greater than 90% precision and recall, from Hoechst 33342 stained tissue only. Our model learns previously unknown morphological features associated with expression of these proteins which can be used to accurately differentiate lymphocyte subtypes for use in key prognostic metrics such as assessment of immune cell infiltration,and thereby predict and improve patient outcomes without the need for costly multiplex immunofluorescence.

Cutting edge solutions filled six event halls, with common themes of automation, connectivity and flexibility linking competitors and partners. In one display in the Zeiss booth, attendees could view inspection processes designed to aid additive manufacturers from the raw powder through dimensional and surface inspection of the final part and then to data analysis and statistics. Data collection, and seamless integration with cloud software was evidenced throughout the expo, alongside automated in-line and near-line solutions for measuring with everything from CMMs to the newest laser scanners. Doug Adkins, executive vice president of Mitutoyo, noted the progression of robotics in metrology. Robotic arms have advanced from simply handing a part to an inspection cell, to actually doing the inspection itself.