Scientifica PatchVision

Join us on booth 2223 at Society for Neuroscience 47th annual meeting from 11-15 November and see our latest electrophysiology, multiphoton imaging and optogenetics equipment http://www.scientifica.uk.com/...

×

Thank you

Your quote request has been received and we will be in touch shortly.

Quick Quote

After completion of this form we’ll be in touch within 1 working day.

Scientifica PatchVision

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.

Scientifica PatchVision

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.

Fluorescence imaging

Allowing them to identify fluorescently labelled cells prior to patching.

Morphometric analysis

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.

Running average

Reduces noise and flicker in ‘live’ image by displaying a running average on screen image from a specified number of frames.

Computer

Only operates on Windows XP and Windows 7 systems.

Testimonials

“Very user friendly and you don’t need expensive cameras or illumination source”  - Dr Rob Wykes, Institute of Neurology, Department of Clinical Experimental Epilepsy

Downloads

Download the PatchVision brochure for more information.

Downloads

Download the PatchVision brochure for more information.

Worldwide Presence

Scientifica’s equipment is used in more than 50 countries worldwide. Some of our customers include; California Institute of Technology, University of Oxford, Stanford University, University of Cambridge, Massachusetts Institute of Technology, Harvard University, Princeton University, Imperial College London, University of Chicago, Johns Hopkins University, Yale University and over 700 more research institutions.

map

Real time
Real time
All 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 capture
Record, store and replay image stills (.bmp) and video (.avi) for offline analysis of your experiment
Simple calibration
Simple calibration
User 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-interface
USB-interface
Uses a digital converter to transfer an analogue feed onto a laptop or PC
items in quote basket