![]() ![]() In these applications it can be beneficial for the user to be able to switch off interpolative corrections, which Andor have made possible. However, such interpolation over pixel blemishes can be considered detrimental in some specific applications that depend on total quantitative integrity over a limited set of pixels, for example in localization based super-resolution microscopy (such as PALM and STORM techniques) and astronomy. This filter works by calculating the mean of the surrounding 8 pixel values and replacing this central blemish pixel with this mean value. The above blemish types are processed in the FPGA of the camera in real time, using an Interpolative Filter. Pixels that have responsivity less than 75%, or greater than 125% of the global average are labelled as ‘Variable Responsivity Pixels’. This image is flat fielded to correct for any illumination non-uniformity. ‘Variable Responsivity Pixels’ - Andor take a uniformly illuminated image at half well depth. Pixels that have a read noise value above a set threshold are labelled as ‘Noisy Pixels’.ģ. To identify, Andor create a map of read noise for every pixel in the sensor. ![]() ‘Noisy Pixels’ – These are pixels with read noise significantly above the average. Pixels that have a dark current value above a set threshold are labelled as ‘Hot Pixels’.Ģ. To identify, Andor take a long exposure image and create a map of dark current across the image. ‘Hot Pixels’ – These are pixels with darkcurrent significantly above the average. This filter identifies and compensates for three types of blemishes which are corrected for during the FPGA processing step:ġ. Interpolative Blemish Corrections on sCMOS - How to switch ON/OFFĬlassification, Identification and Filtering of Blemish PixelsĪndor’s Neo and Zyla cameras are equipped with considerable FPGA processing power which is utilized to filter the small percentage of blemishes from the image sensor. ![]()
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