Summary of ssbd-repos-000208

Repository URL
Post-hoc Correction of Chromatic Aberrations in Large-scale Volumetric Images in Confocal Microscopy

Confocal images of fluorescence beads and multicolor-labeled brain samples

Submited Date
Release Date
Updated Date
Data size
236.2 GB
Data formats
.lif,.oif, and .tiff files

Mus musculus
Cell Line
Molecular Function (MF)
Biological Process (BP)
Cellular Component (CC)
Study Type
Imaging Methods

Method Summary

See also Leiwe MN, Fujimoto S and Imai T (2021) Post hoc Correction of Chromatic Aberrations in Large-Scale Volumetric Images in Confocal Microscopy. Front. Neuroanat. 15:760063. doi: 10.3389/fnana.2021.760063

Related paper(s)

Marcus N Leiwe, Satoshi Fujimoto, Takeshi Imai (2021) Post hoc Correction of Chromatic Aberrations in Large-Scale Volumetric Images in Confocal Microscopy., Frontiers in neuroanatomy, Volume 15, pp. 760063

Published in 2021 (Electronic publication in Dec. 10, 2021, midnight )

(Abstract) Over the last decade, tissue-clearing techniques have expanded the scale of volumetric fluorescence imaging of the brain, allowing for the comprehensive analysis of neuronal circuits at a millimeter scale. Multicolor imaging is particularly powerful for circuit tracing with fluorescence microscopy. However, multicolor imaging of large samples often suffers from chromatic aberration, where different excitation wavelengths of light have different focal points. In this study, we evaluated chromatic aberrations for representative objective lenses and a clearing agent with confocal microscopy and found that axial aberration is particularly problematic. Moreover, the axial chromatic aberrations were often depth-dependent. Therefore, we developed a program that is able to align depths for different fluorescence channels based on reference samples with fluorescent beads or data from guide stars within biological samples. We showed that this correction program can successfully correct chromatic aberrations found in confocal images of multicolor-labeled brain tissues. Our simple post hoc correction strategy is useful to obtain large-scale multicolor images of cleared tissues with minimal chromatic aberrations.

Takashi Imai
Kyushu University , Department of Developmental Neurophysiology, Graduate School of Medical Sciences
Image Data Contributors
Marcus Leiwe, Satoshi Fujimoto
Quantitative Data Contributors

Download files

If file exists, download file. It is an archive containing .oif and .oif.files/.