Researchers have developed a numerical model to optimize avalanche photodiodes for detecting photons in ultraviolet wavelengths. The study improved the design of Geiger-mode avalanche photodiodes, resulting in high single-photon detection efficiencies up to 71% for photons with a wavelength of 340 nm.
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Researchers developed a novel mixed-dimensional heterojunction between GaSb NWs and Bi2O2Se NSs for self-powered near-infrared photodetection with ultralow dark current and ultrafast response. The device showcases multifunctional capabilities without an external power supply, enabling applications in various fields.
Researchers have created a tiny spectrometer that can accurately measure light wavelengths and is small enough to fit on a phone. The technology has the potential to be integrated into smartphones and enable new applications in fields like manufacturing and biomedical diagnostics.
A newly developed low-cost, handheld intraoral device combines optical diagnostics and image-guided photodynamic therapy to detect and treat early-stage oral cancer. The device shows promising accuracy and effectiveness in detecting PpIX fluorescence and monitoring treatment in real-time.
KAIST researchers developed a highly sensitive mid-infrared photodetector that operates at room temperature, enabling low-cost mass production and real-time sensing of various molecular species. The technology has potential applications in environmental monitoring, medical diagnostics, and industrial process management.
Scientists have created a new method to create silver telluride colloidal quantum dots that overcome challenges of high dark current, limited linear dynamic range, and response speed. The team developed the first proof-of-concept SWIR LIDAR using these non-toxic materials, measuring distances over 10 meters with decimetre resolution.
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A new type of OLED device can amplify and convert near infrared light into visible light, promising low power consumption and long battery life. The device has a memory effect that could enable computer vision systems to sense and interpret incoming light signals.
Narrowband perovskite photodetectors have achieved excellent detection performance with half-peak full-widths of 10-50 nm, opening up new opportunities for multispectral detection. The development of new strategies, such as charge collection narrowing effect and surface roughening effect, has improved their performance.
A diagnostic study of 1,890 eyes supports the use of artificial intelligence in screening for autism spectrum disorder (ASD) and assessing symptom severity. Retinal photographs may improve accessibility to specialized assessments by reducing resource strain.
Researchers developed a silicon photodiode array for in-sensor processing, allowing for real-time image filtering and extraction of relevant visual information. The technology has potential applications in machine vision, bio-inspired systems, and intelligent imaging devices.
A novel engineered tunneling layer with enhanced impact ionization improves detection capabilities in graphene/insulator/silicon heterostructure photodetectors. The technique achieves a champion responsivity of ~1.03 AW-1 at a reverse bias of -10 V, showing great potential applications in sensing and communications.
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Researchers create high-performance organic phototransistors using a novel hybrid-layered architecture that combines charge-trapping effect and efficient carrier transport, enabling enhanced photodetection performance. The devices show excellent flexibility and reliability in photosensitive imaging systems.
A team of Cornell engineers developed an atomically thin photodetector that responds to light in near-instantaneous electrical current. The device achieved intrinsic response times as short as 3 picoseconds, surpassing current technology.