Details zur Publikation

Referenztyp Buchkapitel
DOI / URL Link
Titel (primär) Visualization and co-registration of correlative microscopy data with the ImageJ plug-in Correlia
Titel (sekundär) Correlative light and electron microscopy IV
Autor Schmidt, M.; Rohde, F.; Braumann, U.-D.;
Herausgeber Müller-Reichert, T.; Verkade, P.;
Journal / Serie Methods in Cell Biology
Erscheinungsjahr 2021
Department ISOBIO;
Band/Volume 162
Sprache englisch;
POF III (gesamt) T41;
Keywords Correlia; Correlative microscopy; ImageJ/Fiji; Image registration; Deformable registration; Open source
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.
ID 23918
dauerhafte UFZ-Verlinkung 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