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  • 标题:Intensity Weighted Subtraction Microscopy Approach for Image Contrast and Resolution Enhancement
  • 本地全文:下载
  • 作者:Kseniya Korobchevskaya ; Chiara Peres ; Zhibin Li
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2016
  • 卷号:6
  • 期号:1
  • DOI:10.1038/srep25816
  • 语种:English
  • 出版社:Springer Nature
  • 摘要: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.
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