Rapid and specific detection of intact viral particles using functionalized microslit silicon membranes as a fouling-based sensor.

The COVID-19 pandemic demonstrated the public health benefits of reliable and accessible point-of-care (POC) diagnostic tests for viral infections. Despite the rapid development of gold-standard reverse transcription polymerase chain reaction (RT-PCR) assays for SARS-CoV-2 only weeks into the pandemic, global demand created logistical challenges that delayed access to testing for months and helped fuel the spread of COVID-19. Additionally, the extreme sensitivity of RT-PCR had a costly downside as the tests could not differentiate between patients with active infection and those who were no longer infectious but still shedding viral genomes.

Compressed Sensing Structured Illumination Microscopy.

We propose a new framework for super-resolution structured illumination microscopy (SR-SIM) based on compressed sensing (CS). Our framework addresses several key problems in SIM, including long readout time and photobleaching. CS has the potential to eliminate these problems because it allows the reduction of the number of measurements, can record an image faster, and excites fluorochromes with less excitation light.

Three-dimensional image reconstruction of macroscopic objects from a single digital hologram using stereo disparity.

We present depth extraction of macroscopic three-dimensional (3D) objects from a single digital hologram using stereo disparity. The method does not require the phase information of the hologram but two perspectives of the scene, which are easily obtained by dividing the hologram into two parts (two apertures) before the reconstruction. Variation of the hologram division is countless since each piece of a single hologram contains all the information regarding the scene; therefore, stereo disparity can be calculated along any arbitrary direction.