Abstract
Fluorescence microscopy has some limitations and imperfections that can affect some types of study in human genome research. Image registration methods can help overcome or reduce the effect of some of them. This paper is concentrated on several applications of image registration that are carried out in our laboratory. The concerned areas are: 1. chromatic aberration correction, which improves precision of colocalization studies, 2. registration of images after repeated acquisitions, which helps to enlarge the number of object types studied simultaneously, and 3. registration of tilted images in micro-axial tomography, which helps to improve optical resolution of light microscopy.
This research was funded by the Ministry of Education of the Czech Republic (Grant No. MSM-143300002) and by the Grant Agency of the Academy of Sciences of the Czech Republic (Grant No. A5004306).
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Matula, P., Kozubek, M., Matula, P. (2004). Applications of Image Registration in Human Genome Research. In: Sonka, M., Kakadiaris, I.A., Kybic, J. (eds) Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis. MMBIA CVAMIA 2004 2004. Lecture Notes in Computer Science, vol 3117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27816-0_32
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DOI: https://doi.org/10.1007/978-3-540-27816-0_32
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