Recent advances in quantitative phase imaging (QPI) and artificial intelligence (AI) have
opened up the possibility of an exciting frontier. The fast and label-free nature of QPI …

Optical microscopy is an indispensable diagnostic tool in modern healthcare. As a prime
example, pathologists rely exclusively on light microscopy to investigate tissue morphology …

Significance Quantitative phase imaging (QPI) offers a label-free approach to non-invasively
characterize cellular processes by exploiting their refractive index based intrinsic contrast …

In this paper, we review spatial light interference microscopy (SLIM), a common-path, phase-
shifting interferometer, built onto a phase-contrast microscope, with white-light illumination …

Phase-contrast microscopy converts the phase shift of light passing through a transparent
specimen, eg, a biological cell, into brightness variations in an image. This ability to observe …

We present an approach for automatic diagnosis of tissue biopsies. Our methodology
consists of a quantitative phase imaging tissue scanner and machine learning algorithms to …

Disease ontologies facilitate the semantic organization and representation of domain-
specific knowledge. In the case of prostate cancer (PCa), large volumes of research results …

Identifying prostate cancer patients that are harboring aggressive forms of prostate cancer
remains a significant clinical challenge. Here we develop an approach based on …

Quantitative phase imaging (QPI) is an emerging label-free modality that attracts significant
interest in biomedicine in general and neuroscience in particular. Based on the principle of …

Sperm cell motility and morphology observed under the bright field microscopy are the only
criteria for selecting a particular sperm cell during Intracytoplasmic Sperm Injection (ICSI) …