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  • Calcium Imaging at Freie University, Berlin

    Emil Kind is a PhD student in the lab of Prof. Wernet, which focuses on neural circuitry, especially circuits involved in navigation and orientation behaviour. Their studies span from looking at neuroanatomy on a cellular level to behaviour on the organism level using the fruit fly Drosophila as a model system.

  • Why Photometrics?

    Teledyne Photometrics provides scientific CMOS, EMCCD, and CCD camera solutions that turn your experiments into results.Our products are widely used to support demanding, quantitative research, from live animal imaging to quantum physics.

  • Camera Resolution

    In imaging, the resolution is defined as the shortest distance between two points on a specimen that can still be distinguished. This means that if a camera has a resolution of 1 µm, it can resolve objects in the sample that are more than 1 µm apart. But if objects are closer than 1 µm the imaging system will be unable to tell them apart, and they will appear as one object.

  • Single Molecule TIRF

    Dr. Pradhan’s research is concerned with understanding how DNA supercoils with a family of proteins called structural maintenance of chromosome (SMC) proteins.

  • smFRET, STORM and TIRF

    The Hohlbein Lab uses techniques such as single molecule imaging, FRET and super-resolution PALM/STORM to investigate a variety of topics.

  • Camera Sensitivity

    Camera sensitivity is one of the most important aspects of camera performance – with inadequate sensitivity, your imaging experiment may simply be impossible. However, sensitivity is a broad topic dependant on a large number of factors, and cannot be represented by one value alone – while one camera may outperform another at one light level or the exposure time, the situation may be reversed at higher light or longer exposures.

  • Citadel Chamber Design

    Scientific cameras are an integral part of any imaging system, featuring cutting-edge sensors that enable researchers to obtain high-quality, high sensitivity images of their sample(s) of choice. These sensors feature complex electronics and millions of silicon pixel elements, and as a result are fragile and highly susceptible to damage, even from moisture and particulates in the air.

  • Imaging Speed

    The speed of your camera can determine what samples your imaging system can detect, especially when working with live dynamic samples or techniques that image fast biological processes such as calcium imaging or voltage imaging. Even if your samples are fixed, camera speed still impacts your imaging, such as the ease at which you can pan across your sample while the image updates.

  • Correlated Multi-Sampling

    In scientific camera sensors, the process of reading out pixels is subject to an error known as read noise. This can impact imaging, especially when working with low signals and only a handful of photons. If a CCD camera has a read noise of ±10 electrons and is receiving a signal of ~20 electrons, it will have a huge impact on the sensitivity, with the camera unable to distinguish between signal and noise.

  • Types Of Camera Sensors

    Quantitative scientific cameras are vital for sensitive, fast imaging of a variety of samples for a variety of applications. Camera technologies have advanced over time, from the earliest cameras to truly modern camera technologies, which can push the envelope of what is possible in scientific imaging and allow us to see the previously unseen.

  • Calcium Imaging

    Calcium (Ca2+) is one of the most relevant ions in the body as it is essential for e.g. the accurate timing and function of interneuronal communication or cardiomyocytes. In a physiological system, intracellular and extracellular Ca2+ concentrations ([Ca2+]) are usually not in equilibrium and the concentration gradient is maintained by the cell with a very complex system of ion channels and transporters.

  • Fluorescence Imaging

    Tissues, cells, and the smaller structures inside cells (organelles) are mostly water and are therefore transparent. Imaging tiny see-through bags of water results in images that don’t contain a lot of information, and in microscopy, it is vital to have some sort of contrast or stain that will give areas of the sample color and make them far easier to see.