Paris, 10 June 2021
This CAVIAR sub-project is developing a new digital camera and smart image processing for histopathology (the diagnosis & study of diseases of the tissues). These will speed up capture and analysis of scanned images, enabling faster histology slide digitization and supporting pathologists in making diagnoses and so, increased patient throughput in medical workflows. Smart processing will also help in the creation of databases of digitized microscope slides for study and training. Overall, the outcomes will address the fundamental need for improved digital pathology diagnostics at lower cost.
Histopathology is key to diagnosing disease (such as cancer) and to determining the biomarkers (biological molecules) which indicate the prognosis and response to specific therapies. The work involves examining tissue and cells taken from the patient in a biopsy. Traditionally, samples are placed on glass slides and viewed under a microscope. Today, digital scanners are increasingly replacing optical and digital microscopes. This project aims to further enhance the performance of these scanners and make it easier for pathologists to diagnose the huge number of images generated.
Indeed, with critical technical issues resolved – including rapid, high-resolution image acquisition, precise colour reproduction and fine detail preservation – digital microscopy is now standard in modern histopathology. Digital images of slides can be consulted onscreen, saved in hospital databases.
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