A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Fast4DReg – fast registration of 4D microscopy datasets
Tekijät: Pylvänäinen Joanna W., Laine Romain F., Saraiva Bruno M.S., Ghimire Sujan, Follain Gautier, Henriques Ricardo, Jacquemet Guillaume
Kustantaja: COMPANY BIOLOGISTS LTD
Julkaisuvuosi: 2023
Journal: Journal of Cell Science
Tietokannassa oleva lehden nimi: JOURNAL OF CELL SCIENCE
Lehden akronyymi: J CELL SCI
Artikkelin numero: jcs260728
Vuosikerta: 136
Numero: 4
Sivujen määrä: 11
ISSN: 0021-9533
eISSN: 1477-9137
DOI: https://doi.org/10.1242/jcs.260728
Verkko-osoite: http://dx.doi.org/10.1242%2Fjcs.260728
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/179476567
Unwanted sample drift is a common issue that plagues microscopy experiments, preventing accurate temporal visualization and quantification of biological processes. Although multiple methods and tools exist to correct images post acquisition, performing drift correction of three-dimensional (3D) videos using open-source solutions remains challenging and time consuming. Here, we present a new tool developed for ImageJ or Fiji called Fast4DReg that can quickly correct axial and lateral drift in 3D video-microscopy datasets. Fast4DReg works by creating intensity projections along multiple axes and estimating the drift between frames using two-dimensional cross-correlations. Using synthetic and acquired datasets, we demonstrate that Fast4DReg can perform better than other state-of-the-art open-source drift-correction tools and significantly outperforms them in speed. We also demonstrate that Fast4DReg can be used to register misaligned channels in 3D using either calibration slides or misaligned images directly. Altogether, Fast4DReg provides a quick and easy-to-use method to correct 3D imaging data before further visualization and analysis.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
