Deeper understanding and improved diagnosis of cancer
The clear-cut discrimination between healthy and cancerous cells and the reliable differentiation of various cancer cell types is a major challenge in cancer research and diagnosis. Available techniques, including the current ‘gold standards’ histopathology and immunocytochemistry, have severe limitations in this respect. Moreover, they are time consuming and destructive and potentially disturb cell biology through processing, markers or dyes.
Non-contact photonic approaches have strong potential to overcome these limitations and add a new quality to cancer cell detection and characterization. In particular, cells remain vital and become available for patient-specific drug screening which assists optimization of cancer treatment.
Among others, such techniques have successfully been applied to…
Identify cell types in randomly mixed cell populations of human promyelotic leukaemia, breast cancer and uterine sarcoma.
Distinguish and sort erythrocytes, leukocytes, acute myeloid leukaemia cells and breast tumour cells from various human donors and patients.
Discriminate normal T and B lymphocytes from leukaemic cells with over 90% accuracy.
Distinguish between patients with and without cancer through peripheral blood analysis.