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New Photon-Counting Detectors Expand Frontiers in Scientific Imaging
Jiaju Ma explains the fundamentals of photon-counting image sensors, or quanta image sensors (QIS), beginning with the background knowledge necessary to effectively apply these devices. This...
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High-Throughput Hyperspectral Imaging without Image Degradation
Because hyperspectral imagers divide the signal into many spectral bands, the instrument can be light-starved and therefore provide noisy data, which in turn leads to poor object classification. A...
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Airborne Infrared Hyperspectral Imaging for Quantitative Analysis of SF6 Releases
Benjamin Saute, Ph.D., holds a doctorate in analytical chemistry from the University of Rhode Island and has over a decade of experience in a variety of roles developing advanced optical...
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Enabling Rapid Application Development and Deployment of Hyperspectral Imaging in a Production Environment
Hyperspectral imaging is very data-rich and can add value in a variety of production environments; it can detect foreign objects, inspect products for purity, and provide real-time product grading....
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Advanced Detector Solutions Enabling Quantum Optics Research
Quantum entanglement occurs when two photons remain connected, even over large distances, such that actions performed on the quantum state of one have an instant effect on the other. Studying this...
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KEYNOTE: Quanta Image Sensors: Every Photon Counts, Even in a Smartphone
The Quanta Image Sensor (QIS) was conceived as a different image sensor, one that counts photoelectrons one-at-a-time using millions or billions of specialized pixels read out at a high frame rate....
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LEDs: Expanding Capabilities for Live Cell Imaging
The light source of a widefield fluorescence microscope is often overlooked by scientists setting out to capture fast cellular processes with live cell imaging. But LEDs have changed the game. ...
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Emerging Short-Wavelength Infrared Sensors
The ever-increasing adoption of machine vision and greater sensor deployment creates extensive opportunities for emerging image sensor technologies with enhanced or additional capabilities relative...
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New Industrial Challenges for Optical Metrology as Autonomous Cars, Free-Space Optical Communication, and AR/VR Shape the Future
A portion of the optical manufacturing market is driven by consumer electronics such as smartphones, augmented/virtual reality (AR/VR) devices and automated driving via advanced driver-assistance...
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How Pixel Size and MTF Affect Modern Microscopy and See the Invisible with Microscopes
Microscope designs are moving toward larger field-of-view and larger image circles to capture more information with the recording of a single image. For that reason, camera manufacturers are...
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KEYNOTE: Flat Optics: From Metalenses and Cameras to Structured Light and Dark
Metasurfaces are sub-wavelength spaced arrays of nanostructures that enable the design of ultrathin optical components with superior aberration control and ease of optical alignment compared to...
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Photonics Spectra
Conference 2022: January 10 - 13
Photonics Media will host its second annual Photonics Spectra Conference Jan. 10-13. The virtual event will comprise four technology tracks — Lasers, Optics, Sensors and Detectors, and Imaging...
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Flow Cytometry: Come a Long Way, Much Left to Do
Flow cytometry is a ubiquitous technique used for diverse applications, including to perform basic research in cell biology, immunology, and oncology; to establish diagnoses and prognoses in...
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Dual-Axis OCT for Diagnosis
Evan Jelly reviews recent progress in the development of dual-axis (DA) OCT as a powerful diagnostic tool to image deeper into highly scattering tissue, exposing morphology that otherwise goes...
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Advanced Optoacoustic and Fluorescence Techniques for Noninvasive Scalable Imaging of Mammalian Brain
Neuroscience has a fundamental need for more efficient and less intrusive ways to observe the activity of large distributed neuronal populations and related vascular changes at multiple spatial and...
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LED-Based Photoacoustic Imaging: From Bench to Bedside
Photoacoustic imaging is a hybrid technique with tremendous potential in many clinical applications, including cancer diagnosis and treatment monitoring. However, clinical translation of...
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Full-Field Optical Coherence Tomography
Optical coherence tomography (OCT) is an interferometric imaging technique that has become an established tool for deep-tissue imaging. Full-field (FF) OCT is one of its variants that can perform...
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Multimodal Imaging: Photoacoustic Imaging and More
Transenergy imaging modalities have been significantly explored to overcome existing problems in conventional imaging modalities with respect to spatial/temporal resolutions, penetration depth,...
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Expanding Capabilities with Optimized NIR Confocal Imaging
Fluorescence microscopy historically has been dominated by blue, green, and red imaging. Although this limitation is acceptable for some applications, multiplexing and deep tissue imaging suffer with...
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SESORS for Preclinical Cancer Imaging
The ability to image tumors at depth with high selectivity and specificity remains a significant challenge in the field of biomedical optical imaging. Owing to their unique fingerprint-like spectra,...
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Fiber Optic Solutions for Medical Devices
Steve Allen provides a brief overview and examples of procedures that continue to push adoption and proliferation of optical fiber-based medical devices. From cosmetic surgery to cutting-edge sensing...
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Reshaping Histopathology with Deep Learning
Recent advancements in deep learning have enabled a new state of the art for results in microscopy. Yair Rivenson focuses on deep-learning-powered image enhancement tasks and, specifically, on the...
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In Vivo Label-Free Multimodal Optical Imaging of Mouse Brain
The brain is an enormously complex organ. To fully understand brain function, it is necessary to map out multiple cell types and subcellular features (e.g., dendrites and axons) and probe functional...
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Quantum-Enhanced Superresolution Confocal Microscopy
Far-field optical microscopy beyond the Abbe diffraction limit is already a reality. Yet, while Abbe's theory was based on classical physics, quantum mechanical phenomena were only very recently used...
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Deep Learning-Enabled Computational Microscopy for Biomedical Applications
Deep learning is a class of machine learning techniques that use multilayered artificial neural networks for automated analysis of signals or data. The name comes from the general structure of deep...
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May 2024
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