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This Week in Photonics: Light-Matter Interactions at the Subnanometer Level, On-Board 3D Processing in Semiconductor Chips (11/24/2022)

This Week in Photonics: Light-Matter Interactions at the Subnanometer Level, On-Board 3D Processing in Semiconductor Chips
Weekly newsletter highlighting breaking news, technology developments and product releases in the photonics industry.
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Thursday, November 24, 2022
 
.: Top Stories

 
Researchers Unlock Light-Matter Interactions on Subnanometer Scales
Researchers Unlock Light-Matter Interactions on Subnanometer Scales
Researchers at Purdue University have discovered waves with picometer-scale spatial variations of electromagnetic fields that can propagate in semiconductors like silicon. The findings demonstrate that natural media host a variety of light-matter interaction phenomena at the atomistic level. The use of picophotonic waves in semiconducting materials may lead researchers to design new, functional, optical devices, allowing for applications in quantum technologies.
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Light Burst Opens Path to On-Board 3D Processing in Semiconductor Chips
Light Burst Opens Path to On-Board 3D Processing in Semiconductor Chips
Because semiconductors serve as the backbone of modern technologies including cellphones, cars, robots, and other devices, the continuous need for miniaturized and powerful chips is placing increased pressure on semiconductor manufacturing technologies. The dominant technology, lithography, is limited in its ability to address these challenges, given its surface-processing nature. When intense light from ultrafast lasers is focused inside a semiconductor, highly efficient nonlinear ionization along the beam path creates an opaque plasma that prevents reaching enough energy localization near focus for material writing.
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Project IDEA Shows Path Forward for Industrial Scale 3D Printing
Project IDEA Shows Path Forward for Industrial Scale 3D Printing
Following completion of a multiyear project, collaborators on an initiative of the German Federal Ministry of Education and Research have reported their demonstration of a production approach they believe will enable large corporations, as well as SMEs (small- and medium-size companies), to additively manufacture individualized components in medium batch sizes economically.
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.: More News

 

Wade Cook to Helm AIM Photonics  Read Article 

Liquid Crystal Metasurface-Based Spectropolarimeter Cuts Complexity  Read Article 

Multimodal Microscopy Provides Window into Viruses’ Beginnings  Read Article 

International Space Station's Newest Transceiver Targets Space Debris  Read Article 

Optical Delay Scanning Gets Dual Boost  Read Article 

 
.: Upcoming Webinars

 
A User Guide to Image Quality Assessment for Artificial Intelligence A User Guide to Image Quality Assessment for Artificial Intelligence
Tue, Nov 29, 2022 10:30 AM - 11:30 AM EST
Dotphoton’s Arianne Bercowsky, Ph.D., presents insights into recent work involving standardization and image quality assessment to help future-proof image data. She also demonstrates Jetraw high-performance raw image compression technology, as a software for biomedical and pharma, followed by her colleague Bruno Sanguinetti, Ph.D. who demonstrates its field-programmable gate array (FPGA) implementation for camera manufacturers. Bercowsky and Sanguinetti are joined by Gerhard Holst, from one of Dotphoton’s partners, Excelitas PCO. Holst presents a case study performed by the Imperial College London on the outcome of applying Jetraw compression to light-sheet microscopes using PCO cameras. Presented by Dotphoton.
 Register Now 




Fluorescence Lifetime Microscopy for Label-Free Imaging of Cellular Metabolism and Heterogeneity Fluorescence Lifetime Microscopy for Label-Free Imaging of Cellular Metabolism and Heterogeneity
Wed, Nov 30, 2022 1:00 PM - 2:00 PM EST
Alex Walsh, of Texas A&M University, shares on how cellular metabolism is dysregulated in many diseases and pathologies. Current biochemical assays for metabolism are limited to either cell-destructive protocols. Fluorescence lifetime imaging of the metabolic coenzymes, reduced nicotinamide adenine (phosphate) dinucleotide (NAD(P)H) and oxidized flavin adenine dinucleotide (FAD), provides a label-free method to interrogate cellular metabolism. Single-cell segmentation and analysis of fluorescence lifetime images allows metabolic measurements at the cellular level. To facilitate cell-level analysis of fluorescence images, researchers are developing automated segmentation algorithms. Additionally, they are creating and testing models for predicting cell phenotypes from fluorescence lifetime metrics.
 Register Now 




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