Frequency upconversion technique, where the infrared signal is nonlinearly translated into
the visible band to leverage the silicon sensors, offers a promising alternation for the mid …

Nonlinear interferometers allow for mid-infrared spectroscopy with near-infrared detection
using correlated photons. Previous implementations have demonstrated a spectral …

Sensitive and fast mid‐infrared (MIR) spectroscopy is highly attractive in a variety of
applications including astronomical observation, pharmaceutical synthesis, and …

We present a combination of convolutional neural network (CNN) framework and fast MIR
(mid-infrared spectroscopy) for classifying different types of dark plastic materials that are …

Ultrasensitive spectroscopy is an essential component in mid-infrared (MIR) technology.
However, the drawbacks of MIR detectors pose challenges to robust MIR spectroscopy at …

Promoting the sensitivity of mid-infrared (MIR) spectroscopy to the single-photon level is a
critical need for investigating photosensitive biological samples and chemical reactions. MIR …

To recycle the mixed plastic wastes (MPW), it is important to obtain the compositional
information online in real time. We present a sensing framework based on a convolutional …

Converting the medium-emitting infrared field to the visible band is an effective image-
detection method. We propose a comprehensive theory of image up-conversion under …

Mid-infrared spectroscopy (MIR) using photon up-conversion provides advantages over
near-infrared spectroscopy (NIR) for plastic waste recycling, including comparable data …

Abstract Mid‐infrared (MIR) spectroscopy, which has important applications in medicine,
environmental monitoring, materials, and food science, is widely performed using Fourier …