Publication Details |
| Category | Text Publication |
| Reference Category | Book chapters |
| DOI | 10.1016/bs.mcb.2020.10.001 |
| Document | accepted manuscript |
| Title (Primary) | Visualization and co-registration of correlative microscopy data with the ImageJ plug-in Correlia |
| Title (Secondary) | Correlative light and electron microscopy IV |
| Author | Schmidt, M.; Rohde, F.; Braumann, U.-D. |
| Publisher | Müller-Reichert, T.; Verkade, P. |
| Source Titel | Methods in Cell Biology |
| Year | 2021 |
| Department | ISOBIO |
| Volume | 162 |
| Page From | 353 |
| Page To | 388 |
| Language | englisch |
| Topic | T7 Bioeconomy |
| Keywords | Correlia; Correlative microscopy; ImageJ/Fiji; Image registration; Deformable registration; Open source |
| UFZ wide themes | ProVIS; |
| Abstract | Correlative microscopy experiments require the co-registration of the image data acquired by different micro-analytical techniques. Major challenges are the potentially very different fields-of-view and resolutions as well as the multi-modality of the data. To provide microscopists with an easy-to-use software for two-dimensional image co-registration we have developed Correlia, an open source software based on ImageJa/Fiji,b which is fully tailored for the registration of multi-modal microscopy data. It can handle data-sets of in principle arbitrary extent and uses classical approaches, i.e., rigid registration tools or B-spline based deformation models for the correction of both, global and local misalignments, such that a fast registration output is provided. Here we describe some of the basics of Correlia focusing on its application: firstly, registration workflows are outlined on artificial data. In the second part these recipes are applied to register correlative data acquired on an algal biofilm and a soil sample. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=23918 |
| Schmidt, M., Rohde, F., Braumann, U.-D. (2021): Visualization and co-registration of correlative microscopy data with the ImageJ plug-in Correlia In: Müller-Reichert, T., Verkade, P. (eds.) Correlative light and electron microscopy IV Methods Cell Biol. 162 Elsevier, p. 353 - 388 10.1016/bs.mcb.2020.10.001 |
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