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PatchVision enhances patch clamp recording procedures by improving image quality and contrast during real time feeds, as well as recordings from tissue slices and cultured cells.
It enables researchers to work more effectively with lower cost microscope cameras with the benefit of digital image enhancement in electrophysiological experiments.
Real time imaging optimisation
Cell identification or patching is easier and clearer. This is achieved by applying a range of real-time software image processing algorithms.
Allowing them to identify fluorescently labelled cells prior to patching.
Allowing users to evaluate the characteristic dimensions of a single cell or to measure distances between different cells after a simple few clicks.
Faster fourier transform (FFT)
FFT filter removes low and high frequency repetitive noise interference patterns from images.
Reduces noise and flicker in ‘live’ image by displaying a running average on screen image from a specified number of frames.
Only operates on Windows XP and Windows 7 systems.
“Very user friendly and you don’t need expensive cameras or illumination source” - Dr Rob Wykes, Institute of Neurology, Department of Clinical Experimental Epilepsy
Real timeAll image processing takes place in real time, meaning that you can interactively optimise live image displayed at the normal video rate (25-30 fps) during different stages of patch-clamp experiments
|Image and video sequence capture||
Image and video sequence captureRecord, store and replay image stills (.bmp) and video (.avi) for offline analysis of your experiment
Simple calibrationUser focuses on a calibration grid (supplied) and clicks on the grid points on the screen to calibrate the live image to allow simple morphometric measurements to be performed
USB-interfaceUses a digital converter to transfer an analogue feed onto a laptop or PC
Download the PatchVision brochure for more information.