to classify cancer cells by type. The tool requires only a simple microscope and a small amount of computing power, producing results on par or better than more sophisticated and complex techniques. Their method is published on May 2 in the journalin a paper titled"Label-free identification of different cancer cells using deep learning-based image analysis."
Current methods to categorize cancer cells involve advanced instruments, time-consuming biological techniques, or chemical labels. Some studies use magnetic nanoparticles to track cancer cells, but attaching these labels could affect the downstream analysis of the cells and integrity of the measurements.
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