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Vision Systems Design article – Powering Embedded Vision with Image Sensors
New imaging applications are booming, from collaborative robots in Industry 4.0, to drones fighting fires or being used in agriculture, to biometric face recognition and point-of-care handheld medical devices at home.
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Systems For High Content Imaging
High content imaging (HCI) is a technique that benefits from highly specialized hardware and software. HCI can involve imaging many millions of cells, labeling with multiple fluorescent markers, and studying a large number of parameters. This results in thousands of interactions of different variables, meaning that the imaging system for HCI needs to be the first step in establishing a quantitative HCI setup.
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Image Restoration Through Deconvolution
Microscopists and other scientists collect image data not necessarily for the value of the image itself, but for what it can them tell about the state of the sample. Unfortunately, the image data we collect is a combination of information given by the sample and distortion introduced by the imaging systems optical and detection properties.
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Quantum Efficiency
Quantum efficiency (QE) is the percentage of incident photons that an imaging device can convert into electrons. For example, if a sensor had 75% QE and was exposed to 100 photons, it would be able to convert to 75 electrons of signal. The QE is different for each sensor technology, with high end scientific sensors reaching 95% QE. However, it is determined by the wavelength of light being detected and the semiconductor material.
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Teledyne e2v presents a vision of the key role that sensors will play in smart cities
Thierry Ligozat, Chief Innovation Officer at Teledyne e2v, delivered the keynote speech at the APAC Innovation Summit 2017 – “Smart City. Connected City.” His theme was “Image and Vision Sensors, Systems and Applications for Smart Cities”.
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Light-Sheet Microscopy at Max Planck Institute for the Science of Light (MPL), Germany
Dr. Rui Ma is working on the development of optical microscopy systems at MPL, and is currently involved with building a light sheet microscope in order to image zebrafish, a biological model system used by colleagues at MPL to study spinal cord injury.
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Functional Light Sheet Calcium Imaging
The Bianco Lab at UCL aims to understand the logic of brain circuits that control behavior. Using two‑photon and light-sheet microscopy with small, optically transparent larval zebrafish expressing genetically encoded calcium indicators (GECIs), researchers such as Dr. Asaph Zylbertal record activity at single-cell resolution throughout the brain.
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Simultaneous Multiplane Phase Imaging
The lab of Dr. Kristin Grussmayer develops light microscopy and analysis tools for life sciences and biophysics research, in particular addressing questions in molecular and cell biology.
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DNA PAINT Super Resolution
Dr. John Danial works as part of the Klenerman Lab to develop biophysical approaches to complex neurodegenerative diseases, such as Alzheimer’s and Parkinson’s. In these diseases certain proteins can accumulate in the brain and form aggregates, these aggregates can be investigated using extremely sensitive super-resolution microscopy, to uncover the mechanisms of brain diseases.
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Live-Cell Single-Molecule Fluorescence
Prof. Christof Gebhardt, along with PhD student Devin Assenheimer and the team from Ulm University told us about their research. “We perform single-molecule fluorescence microscopy both in vitro and in vivo within cells, with the aim to also image small organisms.
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Organoid Light Sheet Imaging
Dr. Franziska Decker aims to follow the differentiation of tissues and the development of organoids in 3D using a custom-built light sheet microscope. This work is mainly done with kidney organoids and gastruloids.
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iSIM Live Cell Imaging
The Dickinson lab aims to understand the generation of polarity in cells, namely when two ends of a living cell become molecularly distinct from each other. Polarity is vital for the proper function of cells and can become disrupted in diseases such as cancer.