PTOLEMI
Discover the advancements in automated cell imaging analysis with "Ptolemi: Python Tensorflow Object Locator Examining Microfluidic Instruments," as showcased in our recent publication. Developed upon the initiative of Dr. Doron Gerber and his team, Ptolemi revolutionizes the process of counting and labeling cancer cells in microscope images—a task previously performed manually, consuming weeks of meticulous work. Commencing in 2019, the initial version of Ptolemi quickly demonstrated its potential, leading to an invitation from the university for further development. Explore the in-depth details of Ptolemi and its innovative features by reading the full research paper available by clicking the image below.
Although the project is currently closed source, if you are interested in learning more or participating in its future, please contact me using the form below.