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.
|Title of host publication||Unknown Host Publication|
|Publisher||Österreichische Computer Gesellschaft|
|Number of pages||8|
|Publication status||Published - May 2010|
|Event||34th Workshop of the Austrian Association for Pattern Recognition (AAPR/ÖAGM'10) - Zwettl, Waldviertel, Austria|
Duration: 1 May 2010 → …
|Conference||34th Workshop of the Austrian Association for Pattern Recognition (AAPR/ÖAGM'10)|
|Period||1/05/10 → …|
Konetschnig, J., Saetzler, K., & Elbischger, P. (2010). A novel framework for Z-registration of electron microscopy image stacks. In Unknown Host Publication (pp. 89-96). Österreichische Computer Gesellschaft.