Evidence map›Paper›PMID 36726130›Full record

ArticlePlant methods2023

An optimized pipeline for live imaging whole Arabidopsis leaves at cellular resolution.

Kate Harline, Adrienne H K Roeder

Abstract read
In one paragraph

Article in Plant methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Kate HarlineWeill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, 14853, USA.
Adrienne H K RoederWeill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, 14853, USA. ahr75@cornell.edu.

Funding

Mechanisms of robustness in organogenesis (Equipment Supplement 2023)R01GM134037 · NIGMS · CORNELL UNIVERSITY · PI ROEDER, ADRIENNE H · 2020 to 2023
$1.5M
National Institute of General Medical Sciences R01GM134037National Science Foundation DGE-1650441National Science Foundation MCB-2203275NIGMS NIH HHS R01 GM134037
6 · The paper itself

Abstract

backgroundLive imaging is the gold standard for determining how cells give rise to organs. However, tracking many cells across whole organs over large developmental time windows is extremely challenging. In this work, we provide a comparably simple method for confocal live imaging entire Arabidopsis thaliana first leaves across early development. Our imaging method works for both wild-type leaves and the complex curved leaves of the jaw-1D mutant.

resultsWe find that dissecting the cotyledons, affixing a coverslip above the samples and mounting samples with perfluorodecalin yields optimal imaging series for robust cellular and organ level analysis. We provide details of our complementary image processing steps in MorphoGraphX software for segmenting, tracking lineages, and measuring a suite of cellular properties. We also provide MorphoGraphX image processing scripts we developed to automate analysis of segmented images and data presentation.

conclusionsOur imaging techniques and processing steps combine into a robust imaging pipeline. With this pipeline we are able to examine important nuances in the cellular growth and differentiation of jaw-D versus WT leaves that have not been demonstrated before. Our pipeline is approachable and easy to use for leaf development live imaging.

Indexed as

ArabidopsisComputational image analysisGrowthLeafLive imagingMorphogenesisMorphoGraphXVegetative development

Identifiers

PMID36726130
PMCPMC9890716

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Registered trials

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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.