Adam Markman

TL;DR: An overview of the potential, recent advances, and challenges of optical security and encryption using free space optics is presented, highlighting the need for more specialized hardware and image processing algorithms.

TL;DR: This is the first report of machine learning assisted cell identification and diagnosis of sickle cell disease based on cell membrane fluctuations and morphology using both spatio-temporal and spatial analysis.

TL;DR: This work proposes an optical security method for object authentication using photon-counting encryption implemented with phase encoded QR codes and applies an iterative Huffman coding technique to encrypt and compress an image containing primary information about the object.

TL;DR: This is the first research paper presenting automatic cell identification using a low-cost, compact, and field-portable 3D printed holographic microscope for automated cell identification based on a common path shearing interferometer setup.

TL;DR: Initial computational simulations show that the full-phase PC-DRPE has the potential to require fewer photons for authentication than the amplitude-based PC-RAE, and their statistical parameters are used for authentication.