Extending the Range of MCT Focal Plane Arrays-Based Imaging Systems to Near IR Imaging Applications

Eight FACSS award winners at SciX 2026, One LIBS trailblazer. Forty-eight questions. And not one of them is a softball. Award season in spectroscopy usually means polite applause, a plaque, and a photo. We're not completely interested only in the award sessions. The eight scientists honored at SciX 2026 in Sparks, Nevada, along with LIBS researcher Alessandro De Giacomo, are pushing Raman into operating rooms, flying LIBS on drones, reading chemistry off Mars, and tracing toxic metals downwind of industrial sites. Their work makes big claims. In the coming days, Spectroscopy will sit down with eight of these researchers and ask whether those claims hold up. The interviews that follow won't just celebrate. They'll press on the gaps between simulation and experiment, between the lab bench and the clinic, and between a clever paper and an instrument someone will actually buy and use.

A new deep-learning framework that was recently developed improves the accuracy of near-infrared spectroscopy for non-destructively measuring internal quality traits.

The bulky bench-top NIR spectrometer is quietly being dismantled and rebuilt as a wafer-scale photonic chip, a self-calibrating algorithm, and a sensor small enough to ride in a shirt pocket. What once demanded a grating, a moving mirror, and a climate-controlled lab now fits inside a handheld module, a bioreactor probe, or a drone payload, and it increasingly figures out what it is looking at on its own.