Particle manipulation system with camera/classifier confirmation and deep learning algorithm

A self-aware particle manipulation system, comprising:

• a particle sorting mechanism, wherein the particle sorting mechanism moves in a plane, and is disposed in a microfluidic channel network having a sample stream, a sort channel and a waste channel, and wherein the sample stream includes target particles and non-target material;
• an optical interrogation device upstream of the particle sorting mechanism which identifies target particles, whereby the target particles are diverted into the sort channel by the particle sorting mechanism based on sort parameters;
• an optical confirmation device downstream of the particle sorting mechanism, wherein the optical confirmation device uses a detector to generate image-based information about the target particles, wherein the image-based information includes at least one of arrival time, deformability, density, gravimetric density, granularity, cell health, and locus;
• a controller, wherein the controller is configured to adjust the sort parameters using a feedback loop to adjust the sort parameters based on the information from the detector,
• to improve performance of the self-aware particle manipulation system.