Spatial Statistics of Three-Dimensional Growth Dynamics of Spindle Microtubules

The latest high-resolution 3D live-cell imaging technology, lattice light-sheet microscopy (LLSM), has successfully tracked the dynamics of microtubule growth throughout the entire mitotic spindle with unparalleled precision. By using green fluorescent protein-labeled end-binding protein 1 (EB1-GFP) as a marker for growing microtubule ends, LLSM has generated an extensive collection of multidimensional datasets mapping the positions and trajectories of these growing microtubule ends. Processing this data requires statistical analysis in three-dimensional space. This chapter describes the spatial statistical methods developed for this purpose, illustrated with practical examples. Finally, we discuss future prospects for analyzing complex, large-scale image data.

Authors

Institutions

Publication Details

Journal
Methods in molecular biology
Published
2024-12-01
DOI
https://doi.org/10.1007/978-1-0716-4224-5_4
Citations
3
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
7.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial Statistics of Three-Dimensional Growth Dynamics of Spindle Microtubules

Norio Yamashita, Hideo Yokota, Yuko Mimori‐Kiyosue, Masahiko Morita
3 citations
Methods in molecular biology
Advanced Fluorescence Microscopy Techniques
7.23
article

Spatial Statistics of Three-Dimensional Growth Dynamics of Spindle Microtubules

Norio Yamashita, Hideo Yokota, Yuko Mimori‐Kiyosue, Masahiko Morita
article en
3 citations

Abstract

The latest high-resolution 3D live-cell imaging technology, lattice light-sheet microscopy (LLSM), has successfully tracked the dynamics of microtubule growth throughout the entire mitotic spindle with unparalleled precision. By using green fluorescent protein-labeled end-binding protein 1 (EB1-GFP) as a marker for growing microtubule ends, LLSM has generated an extensive collection of multidimensional datasets mapping the positions and trajectories of these growing microtubule ends. Processing this data requires statistical analysis in three-dimensional space. This chapter describes the spatial statistical methods developed for this purpose, illustrated with practical examples. Finally, we discuss future prospects for analyzing complex, large-scale image data.

Methods in molecular biologyVol. 2872
Kansai Medical University (JP), RIKEN Center for Biosystems Dynamics Research (JP), RIKEN Center for Advanced Photonics (JP)
Japan Society for the Promotion of Science, Japan Science and Technology Agency, RIKEN, Core Research for Evolutional Science and Technology, RIKEN Center for Biosystems Dynamics Research
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Advanced Fluorescence Microscopy Techniques
7.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.