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  • Electrophysiology and FRET

    Calcium ion (Ca2+) is a second messenger involved in various physiological phenomena. In contrast to the high Ca2+ concentration (2 mM) in the extracellular fluid, cells maintain the cytosolic Ca2+at nM concentration.

  • Spinning Disk Confocal In Vivo Imaging

    The Johns Hopkins University School of Medicine Microscope Facility has an expansive selection of research microscopes, including multiple laser scanning confocal microscopes, a multiphoton microscope, an atomic force microscope, a TIRF microscope and multiple spinning disk confocal microscopes.

  • Super Resolution Microscopy (SptPALM/STORM)

    Research at the Nanoorganization Lab, Centre for Neuroscience, Indian Institute of Science in Bangalore India borders on the interface of single molecule spectroscopy and molecular and cellular neuroscience. Here, team members develop and adapt state of the art paradigms in ultra-high and super resolution microscopy to image molecules at the synapses of living neurons.

  • Single Molecule Spectroscopy at Sussex University

    Research at Sussex University focuses on the development and application of ultrasensitive optical techniques for the detection and manipulation of single molecules. Representing the ultimate level of sensitivity in the analysis and control of matter, single molecule techniques have many advantages over conventional ensemble methods, namely the measurement of static and dynamic heterogeneity in molecular systems.

  • Single Molecule and TIRF

    The School of Chemistry has a long history of excellence in both research and teaching. It maintains a superb research environment with world leading research groups and facilities.

  • Teledyne brings its most innovative imaging solutions to Photonics West

    Teledyne Imaging, including Teledyne Acton Optics, DALSA, e2v, Lumenera, Photometrics and Princeton Instruments, and its sister companies, Teledyne Judson, Teledyne Imaging Sensors, Teledyne Scientific and Teledyne SP Devices will converge in stand 648 at SPIE’s Photonics West taking place at the Moscone Center in San Francisco, from February 4-6.

  • New Genie Nano-CXP Cameras Boast Unrivaled Speed and Resolution

    Teledyne DALSA, a Teledyne Technologies [NYSE:TDY] company and global leader in machine vision technology, is pleased to announce its new GenieTM Nano-CXP C4090 and C5100 cameras, based on the On-SemiTM 16M and 25M Mono color sensors, are in full production now.

  • Teledyne Photometrics Drivers & Software

    Downloads & Drivers for Teledyne Photometrics Products

  • Teledyne DALSA expands its family of SWIR line scan cameras

    Teledyne DALSA, a Teledyne Technologies [NYSE:TDY] company and global leader in machine vision technology, is pleased to introduce a 512 short-wave infrared (SWIR) line scan camera for machine vision. The latest Linea SWIR model features a cutting-edge InGaAs sensor in a compact format suitable for a variety of applications including food and packaged good inspection, recycling, mineral sorting and solar and silicon wafer inspection.

  • New CLHS cameras engineered for true high-performance image capture

    Teledyne DALSA, a Teledyne Technologies [NYSE:TDY] company and global leader in machine vision, is pleased to announce its new Falcon4-CLHS M4480 and M4400, based on the Teledyne e2v Lince 11.2M monochrome sensors. The new Falcon4-CLHS models deliver easy-to-use, CLHS interface cameras that have been specifically engineered for industrial imaging applications requiring high-speed data transfer.

  • Teledyne DALSA’s thermal imaging camera is key component in Nuvoola’s AI-powered elevated skin temperature screening solution

    Teledyne DALSA, a Teledyne Technologies [NYSE:TDY] company, and global leader in digital imaging technology, is pleased to provide its new Calibir GXF thermal camera as a critical component within Nuvoola’s LUKE™ AI Health Screening and Protection (HSP) solution.

  • How to Create Training Data for Deep Learning Classification

    This application note describes how to create training data for deep learning classification by taking good images and using augmentation