A biotechnological innovation. In Toulouse, two laboratories attached to the CNRS have developed a method for analyzing and measuring cancer cells, with the aim of better diagnosis of cancer. The latter aims to differentiate healthy cells from pathogenic bodies, which have different mechanical properties. Published yesterday in the magazine ACS Applied Materials and Interfacesthe results are promising.
How does it work?
Using an atomic force microscope (AFM), scientists established an automated biomechanical measurement device. After immobilizing the cells, the device automatically performs a record number of measurements by moving from one cell to another.
With this device, the LAAS team was able to measure nearly a thousand cells in two hours, whereas with a standard AFM, an entire day is necessary to measure only a few dozen cells,” explains the CNRS.
This unique method is based on artificial intelligence: the device collects a significant amount of data, and uses learning techniques, in order to differentiate between healthy and cancerous cells.
A device to perfect
Currently, this new technique makes it possible to correctly classify 73% of cells. The scientists thus indicate that “an adjustment will have to be made, with clinicians, depending on the intended application (diagnosis, chemotherapy monitoring, etc.)”. The Toulouse research teams are carrying out tests on other algorithms and applications, such as on cells involved in tissue regeneration.
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