Intensity Weighted Subtraction Microscopy Approach for Image Contrast and Resolution Enhancement

Kseniya Korobchevskaya, Chiara Peres, Zhibin Li, Alexei Antipov, Colin J. R. Sheppard, Alberto Diaspro, Paolo Bianchini

Research output: Contribution to journalArticlepeer-review

Abstract

We propose and demonstrate a novel subtraction microscopy algorithm, exploiting fluorescence emission difference or switching laser mode and their derivatives for image enhancement. The key novelty of the proposed approach lies in the weighted subtraction coefficient, adjusted pixel-by-pixel with respect to the intensity distributions of initial images. This method produces significant resolution enhancement and minimizes image distortions. Our theoretical and experimental studies demonstrate that this approach can be applied to any optical microscopy techniques, including label free and non-linear methods, where common super-resolution techniques cannot be used.
Original languageEnglish
Article number25816
Number of pages9
JournalScientific Reports
Volume6
DOIs
Publication statusPublished - 12 May 2016

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