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Teledyne e2v’s new 8K image sensor delivers wide FOV for high-throughput logistics vision systems
Snappy Wide has a small 2.5 µm global shutter pixel, designed with Teledyne e2v’s latest generation light pipe technology, which provides 67 dB dynamic range in 10-bit and 12-bit ADC mode. The sensors have low read-out noise, which is paramount for barcode reading, with a good MTF in any kind of environment, and low dark current to ensure pristine image quality, even in very low-light conditions. With a maximum resolution of 8K (8,192) x 4k (4,320) pixels (i.e. 17/9 aspect ratio) Snappy Wide provides innovative sensor solutions for the logistics market and other industrial applications, such as smart factories.
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Teledyne e2v releases 1.5 Megapixel version of Optimom, a turnkey optical module for quick and easy development of vision systems
Optimom 1.5M is a complete board-level vision extension made to accelerate development time, reduce R&D investment, and scale down manufacturing costs for embedded vision and AI vision solutions. It comprises of a proprietary image sensor, a tiny 25mm square board with lens mount, and optional lens in various options.
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Teledyne e2v releases Hydra3D+, the first high resolution ToF sensor to work in all light conditions without motion artefacts
Designed with Teledyne e2v’s proprietary CMOS technology, Hydra3D+ features a brand-new 10 µm three-tap pixel which provides very fast transfer times (starting from 10ns), and displays high sensitivity in the NIR wavelength, alongside excellent demodulation contrast. This precise combination enables the sensor to operate in real-time without motion artefacts (even if there are fast moving objects in the scene) and with excellent temporal noise at short ranges, essential in applications such as pick and place, logistics, factory automation and factory safety. An innovative on-chip multi-system management feature enables the sensor to work alongside multiple active systems without interference which can lead to false measurements.
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AI-Powered Optical Inspection Can Find Nanoscale PCB Defects
Sapera Software Suite makes it easier to use machine learning in AOI with surprisingly few samples.
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Teledyne introduces radiometric version of its compact thermal camera core
Teledyne DALSA is pleased to announce a radiometric version of its MicroCalibir™ Long Wave Infrared (LWIR) compact camera platform that delivers accurate temperature measurements of +/-2°C or +/-2%.
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Teledyne DALSA honored by 2024 VSD Innovators Awards
Teledyne DALSA announced today that its AxCIS™ family of high-speed and high-resolution fully integrated line scan imaging modules was recognized among the best by the 2024 VSD Innovators Awards.
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Whole Nematode Brain Calcium Imaging
The research focus of Professor Vivek Venkatachalam and his team is whole brain activity in the nematode C. elegans.
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Live Mouse Brain Vascular Imaging
Dr. Thomas Broggini is a principal investigator at the Translational Neurosurgery Laboratory at the University Clinic Frankfurt. His research focuses on investigating and understanding the mechanisms of relevant neurosurgical diseases, leading to the development of potential treatments.
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Imaging Fluorescent Microplastic Seimentation
Prof. Dr. Peiffer's team at Bayreuth University’s Hydrology Department is exploring the interactions at the boundary between groundwater and surface water, which is vital for various processes that influence the quality of both.
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Fast Photoporation Imaging
Fast Photoporation Imaging of melanoma cells using the Prime BSI Express
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Kinetix multi-ROI
Kinetix advanced features: multi-ROI is an implementation that allows users to select multiple regions of the sensor and image at higher speeds
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Improving data transfer by 700% with the Prime BSI Express
The Wyss Center’s Advanced Lightsheet Imaging Center (ALICe) is one of Europe’s leading neuroimaging facilities, serving more than 150 users across multiple institutions. With advanced microscopy systems and cameras such as Teledyne Photometrics' Prime BSI Express, researchers capture highly detailed datasets that generate terabytes of data. Moving a single 2 TB dataset over a 1 Gbit/s connection took more than four hours. Limited storage, rising cloud costs, and fragmented access slowed collaboration and delayed experiments worldwide.