Wavelet-based image fusion in multi-view three-dimensional microscopy
- Authors
- Rubio-Guivernau, J.L., Gurchenkov, V., Luengo-Oroz, M.A., Duloquin, L., Bourgine, P., Santos, A., Peyrieras, N., and Ledesma-Carbayo, M.J.
- ID
- ZDB-PUB-111117-44
- Date
- 2012
- Source
- Bioinformatics (Oxford, England) 28(2): 238-245 (Journal)
- Registered Authors
- Duloquin, Louise
- Keywords
- none
- MeSH Terms
-
- Animals
- Humans
- Image Processing, Computer-Assisted*
- Microscopy, Fluorescence*
- Sea Urchins/embryology*
- Software*
- Zebrafish/embryology*
- PubMed
- 22072386 Full text @ Bioinformatics
Motivation: Multi-view microscopy techniques such as Light-Sheet Fluorescence Microscopy (LSFM) are powerful tools for 3D+time studies of live embryos in developmental biology. The sample is imaged from several points of view, acquiring a set of three-dimensional views which are then combined or fused in order to overcome their individual limitations. Views fusion is still an open problem despite recent contributions in the field.
Results: We developed a wavelet-based multi-view fusion method that, due to wavelet decomposition properties, is able to combine the complementary directional information from all available views into a single volume. Our method is demonstrated on LSFM acquisitions from live sea urchin and zebrafish embryos. The fusion results show improved overall contrast and details when compared with any of the acquired volumes. The proposed method does not need knowledge of the system’s point spread function (PSF) and performs better than other existing PSF independent fusion methods.
Availability and implementation: The described method was implemented in Matlab (The Mathworks, Inc., USA) and a graphic user interface was developed in Java.