Lensless imaging provides opportunities to design imaging systems free from the constraints
imposed by traditional camera architectures. Due to advances in imaging hardware …

High-resolution optical microscopy has traditionally relied on high-magnification and high–
numerical aperture objective lenses. In contrast, lensless microscopy can provide high …

Deep learning-based image reconstruction methods have achieved remarkable success in
phase recovery and holographic imaging. However, the generalization of their image …

We discuss unique features of lens-free computational imaging tools and report some of
their emerging results for wide-field on-chip microscopy, such as the achievement of a …

We demonstrate a handheld on-chip biosensing technology that employs plasmonic
microarrays coupled with a lens-free computational imaging system towards multiplexed …

Optical compound microscope has been a major tool in biomedical imaging for centuries. Its
performance relies on relatively complicated, bulky and expensive lenses and alignment …

Improving access to effective and affordable healthcare has long been a global endeavor. In
this quest, the development of cost-effective and easy-to-use medical testing equipment that …

We present a deep learning framework based on a generative adversarial network (GAN) to
perform super-resolution in coherent imaging systems. We demonstrate that this framework …

Optical examination of microscale features in pathology slides is one of the gold standards
to diagnose disease. However, the use of conventional light microscopes is partially limited …

Undersampling and pixelation affect a number of imaging systems, limiting the resolution of
the acquired images, which becomes particularly significant for wide-field microscopy …