A Common Image Representation And A Patch-Based Search For Correlative Light-Electron-Microscopy (Clem) Registration

Abstract : Correlative light-electron microscopy (CLEM) enables to relate dynamics (or functions) with structure for a better understanding of cell mechanisms. However, the LM and EM images are of very different size, spatial resolution, field of view, and appearance. Registration of LM and EM modalities is then a timely, important but difficult open problem, which still requires some manual assistance. We have designed an original automated CLEM retracing-and-registration method involving a common representation with an adaptive associated scale (or blurring), the determination of the EM patch geometry, and the specification of appropriate descriptors and similarity criterion for the EM patch search. Its efficiency is demonstrated on real CLEM images.
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://hal.inria.fr/hal-01400854
Contributor : Bertha Mayela Toledo Acosta <>
Submitted on : Tuesday, November 22, 2016 - 3:41:00 PM
Last modification on : Wednesday, November 23, 2016 - 1:03:53 AM
Long-term archiving on : Tuesday, March 21, 2017 - 8:18:24 AM

File

isbi2016-MT_vf.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Bertha Mayela Toledo Acosta, Patrick Bouthemy, Charles Kervrann. A Common Image Representation And A Patch-Based Search For Correlative Light-Electron-Microscopy (Clem) Registration. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Apr 2016, Prague, Czech Republic. pp.257- 260, ⟨10.1109/ISBI.2016.7493258⟩. ⟨hal-01400854⟩

Share

Metrics

Record views

202

Files downloads

231