Abstract
The ongoing progress in fluorescence labeling and in microscope instrumentation allows the generation and the imaging of complex biological samples that contain increasing numbers of fluorophores. For the correct quantitative analysis of datasets with multiple fluorescence channels, it is essential that the signals of the different fluorophores are reliably separated. Due to the width of fluorescence spectra, this cannot always be achieved using the fluorescence filters in the microscope. In such cases spectral imaging of the fluorescence data and subsequent linear unmixing allows the separation even of highly overlapping fluorophores into pure signals. In this chapter, the problems of fluorescence cross talk are defined, the concept of spectral imaging and separation by linear unmixing is described, and an overview of the microscope types suitable for spectral imaging are given.
Original language | English |
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Pages (from-to) | 129-148 |
Number of pages | 20 |
Journal | Methods in Molecular Biology |
Volume | 1075 |
DOIs | |
Publication status | Published - 24 Aug 2014 |
Keywords
- Fluorescence
- Humans
- Image Processing, Computer-Assisted
- Microscopy, Fluorescence