Guided-deconvolution for Correlative Light and Electron Microscopy

• URL: http://arxiv.org/abs/2208.09451v1
• Date: Fri, 19 Aug 2022 17:12:15 GMT
• Title: Guided-deconvolution for Correlative Light and Electron Microscopy
• Authors: Fengjiao Ma, Rainer Kaufmann, Jaroslaw Sedzicki, Zolt\'an Cseresny\'es, Christoph Dehio, Stephanie Hoeppener, Marc Thilo Figge, Rainer Heintzmann
• Abstract summary: Correlative light and electron microscopy is a powerful tool to study the internal structure of cells. It combines the mutual benefit of correlating light (LM) and electron (EM) microscopy information. The classical approach of overlaying LM onto EM images to assign functional to structural information is hampered by the large discrepancy in structural detail visible in the LM images.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Correlative light and electron microscopy is a powerful tool to study the internal structure of cells. It combines the mutual benefit of correlating light (LM) and electron (EM) microscopy information. However, the classical approach of overlaying LM onto EM images to assign functional to structural information is hampered by the large discrepancy in structural detail visible in the LM images. This paper aims at investigating an optimized approach which we call EM-guided deconvolution. It attempts to automatically assign fluorescence-labelled structures to details visible in the EM image to bridge the gaps in both resolution and specificity between the two imaging modes.

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