Subpixel resolving optofluidic microscope based on super resolution algorithm

We report the implementation of a fully on-chip, lensless, sub-pixel resolving optofluidic microscope (SROFM) based on the super resolution algorithm. The device utilizes microfluidic flow to deliver specimens directly across a complementary metal oxide semiconductor (CMOS) sensor to generate a sequence of low-resolution (LR) projection images, where resolution is limited by the sensor´s pixel size. This image sequence is then processed with a pixel super-resolution algorithm to reconstruct a single high resolution (HR) image, where features beyond the Nyquist rate of the LR images are resolved. We demonstrate the device´s capabilities by imaging red blood cell, microspheres, protist Euglena gracilis, and Entamoeba invadens cysts with sub-cellular resolution. We also demonstrate the capability of SROFM for malaria infected red blood cell diagnostics.