ArticleJournal of cell science2023
Fast4DReg - fast registration of 4D microscopy datasets.
Article in Journal of cell science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- The actomyosin cortex controls t-tubule remodeling in skeletal muscle.Science advances · 2026Article
- Single-cell morphodynamics predict cell fate decisions during mucociliary epithelial differentiation.Molecular systems biology · 2026Article
- Adhesion-derived condensates control component availability to regulate adhesion dynamics.Nature communications · 2026Article
- Article
- Imaging and Reconstruction of Three-Dimensional Quantum Dot Trafficking in Live Cells by Spinning Disk Confocal Microscopy.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Inductive bias influences the spatial scale of biological features learned from images.Bioinformatics advances · 2026Article
- High Precision Antibody-Free Microtubule Labeling for Expansion Microscopy.Bio-protocol · 2025Article
- Single-cell morphodynamics predict cell fate decisions during mucociliary epithelial differentiation.bioRxiv : the preprint server for biology · 2025Article
- Application and measurement of tissue-scale tension in avian epithelia in vivo to study multiscale mechanics and inter-germ layer coupling.Development (Cambridge, England) · 2025Article
- Morphology-dependent entry kinetics and spread of influenza A virus.The EMBO journal · 2025Article
- Label-free nanoscopy of cell metabolism by ultrasensitive reweighted visible stimulated Raman scattering.Nature methods · 2025Article
- Efficiently accelerated bioimage analysis with NanoPyx, a Liquid Engine-powered Python framework.Nature methods · 2025Article
- Evidence of universal conformal invariance in living biological matter.Nature physics · 2025Article
- Optimized intravital three-photon imaging of intact mouse tibia links plasma cell motility to functional states.iScience · 2024Article
- Filopodial protrusion driven by density-dependent Ena-TOCA-1 interactions.Journal of cell science · 2024Article
- Live-cell imaging in the deep learning era.Current opinion in cell biology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.