Abstract
Recent developments in electron microscopy (EM) indicate that focused ion beam (FIB) in combination with field emission scanning electron microscopy (FESEM) presents promising results in capturing the structure Nanogold R marked histones within mitotic chromosomes. In order to compute a three-dimensional density map of their distribution within the chromosome, the generated image series has to be registered. This work introduces a new registration framework built into OpenCAR, a novel open source software for three dimensional reconstruction of biological structures. The scaleinvariant feature transform (SIFT) is used for identifying landmarks within the images. A modified random sample consensus (RANSAC) algorithm then optimizes the transformation model using the generated landmarks. The registration framework is evaluated using serial block-face scanning electron microscopy (SBFSEM) images of neuronal structures as ground truth for accuracy evaluation and FIB/FESEM images of chromosomes are used for repeatability assessment. Delivering promising results in aligning FIB/FESEM image stacks, the proposed method offers an excellent framework for assisting in the 3D reconstruction process of EM image series.
| Original language | English |
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| Title of host publication | Unknown Host Publication |
| Publisher | Österreichische Computer Gesellschaft |
| Pages | 89-96 |
| Number of pages | 8 |
| Publication status | Published (in print/issue) - May 2010 |
| Event | 34th Workshop of the Austrian Association for Pattern Recognition (AAPR/ÖAGM'10) - Zwettl, Waldviertel, Austria Duration: 1 May 2010 → … |
Conference
| Conference | 34th Workshop of the Austrian Association for Pattern Recognition (AAPR/ÖAGM'10) |
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| Period | 1/05/10 → … |