Low-light raw image denoising is an essential task in computational photography, to which
the learning-based method has become the mainstream solution. The standard paradigm of …

Turmeric (Curcuma longa), is a popular spice in traditional cuisine and now is globally
available. As in the case of many widespread spices, turmeric powder is often adulterated …

Sensitive detection of low-abundance biomolecules is central for diagnostic applications.
Semiconductor nanowires can be designed to enhance the fluorescence signal from surface …

This paper presents a novel technique for dark current compensation of a CMOS image
sensor (CIS) by using in-pixel temperature sensors (IPTSs) over a temperature range from …

All-sky cameras are frequently used to detect cloud cover; however, this work explores the
use of these instruments for the more complex purpose of extracting relative sky radiances …

The ocean color mission, HYPerspectral Smallsat for ocean Observation (HYPSO-1),
required an instrument built with spectral measurement capability. Anticipated spectral …

Recent research has shown Convolutional Neural Networks (CNNs) trained in a fully-
supervised fashion achieve promising performance on extreme low-light image denoising …

Physically unclonable functions (PUFs) have proved to be an effective measure for secure
device authentication and key generation. We propose a novel PUF design, named …

Real-time molecular imaging to guide curative cancer surgeries is critical to ensure removal
of all tumor cells; however, visualization of microscopic tumor foci remains challenging. Wide …

Economical to a fault, coconut oil is a commodity related to fraudulent activities such as oil
adulteration for undue profits. Unfortunately, the conventional methods used in the detection …