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July 29th Webinar: Understanding Image Sensor Performance
In this webinar, Teledyne e2v’s Pierre Fereyre and Marie-Charlotte Leclerc will review the meaning and implications of the main image sensor performance parameters, giving you some insight and tips to be able to best compare the performances of different sensors.
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Teledyne e2v launches Snappy 2M CMOS image sensor for high-speed scanning and barcode reading
Teledyne e2v, a Teledyne Technologies company and global innovator of imaging solutions, announces Snappy 2 megapixel, a new CMOS image sensor designed for barcode reading and other 2D scanning applications.
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Prime 95B sCMOS for Spinning Disk Confocal Microscopy
The Teledyne Photometrics Prime 95B is a high sensitivity CMOS camera designed for imaging at extremely low light with high speed and low noise.The almost perfect, 95% quantum efficient (QE) sensor of the Prime 95B has equivalent sensitivity to an EMCCD camera but with the much larger field of view (1200×1200 pixels, 18.7 mm diagonal) and high speed (82 fps, full frame) expected of a CMOS device.
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Super Resolution Spinning Disk Confocal Microscopy
Spinning disk confocal microscopy (SDCM) is a versatile and widely-used imaging technique in biology due to its ability to perform fast, 3D imaging of live cells. Recently, techniques have been created that combines the high resolution of super-resolution fluorescence microscopy with the simplicity and optical sectioning capability of SDCM, resulting in a spinning disk system capable of a 2x resolution improvement over the diffraction limit.
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SRRF: A Beginners Guide
Super-resolution radial fluctuations (SRRF) is a super-resolution algorithm that analyzes radial and temporal fluorescence intensity fluctuations in an image sequence to generate a super‑resolution image. Broadly speaking, SRRF works because we know that noise is uncorrelated in time whereas fluorophores are.
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Quantum Efficiency
Quantum efficiency (QE) is the measure of the effectiveness of an imaging device to convert incident photons into electrons. For example, if a sensor had a QE of 100% and was exposed to 100 photons, it would produce 100 electrons of signal.
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Dark Current
The sensitivity of a scientific camera is vital, with insufficient sensitivity it may not even be possible to acquire clear images of your sample. At Teledyne Photometrics sensitivity is paramount and our approach to highly sensitive cameras is twofold: maximize signal collection, and minimize noise levels.
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Binning
There is often a focus on getting a suitable pixel size depending on the experiment, application, or microscopy technique. An easy way to change sensor pixel size is to combine pixels into larger ‘superpixels’, also known as binning, which can affect both the sensitivity and speed of a scientific camera depending on your camera type, whether CCD/EMCCD or CMOS.
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Teledyne e2v recognized by Vision Systems Design 2021 Innovators Awards Program in several categories
Grenoble, FRANCE/Seville, SPAIN, May 21, 2021 — Teledyne e2v, a Teledyne Technologies [NYSE: TDY] company and part of the Teledyne Imaging group, has been recognized as being amongst the best in machine vision by the judges of the Vision Systems Design 2021 Innovators Awards program.
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Whole Live Organism Imaging
The laboratory of Prof. Alex Hajnal study the model organism Caenorhabditis elegans, the nematode worm, in order to understand biological processes such as organogenesis, the mechanisms involved, and how these relate to other areas such as cancer research. Traditionally, C. elegans imaging is done by sandwiching the worms between glass slides and using drugs/chemicals to immobilize the worms for easier imaging.
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Teledyne e2v Announces New 5 Mpixel, 1/1.8 inch CMOS Image Sensor for Machine Vision
GRENOBLE, France, November 27, 2018 — Teledyne e2v, a Teledyne Technologies [NYSE: TDY] company and global innovator of vision solutions, announces the expansion of its Emerald family of CMOS image sensors with a new 5 Megapixel device.
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Volocity® Software For Spinning Disk
A confocal microscopy dataset or image “stack” contains all the information needed to perform 3D and 4D reconstruction of the imaged sample. However, this typically isn’t possible without image reconstruction software, which allows the user to take the raw data and use it to produce still images and videos from the dataset.