ArticleThe Plant cell2012
CellSeT: novel software to extract and analyze structured networks of plant cells from confocal images.
Article in The Plant cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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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
36 citing papers in PubMed, 97 citations in OpenAlex.
- Early Plant Development as a Systems-Level Trait: Integrating Omics, Artificial Intelligence, and Emerging Biotechnologies.Plants (Basel, Switzerland) · 2026Review
- Root segmentation beyond species boundaries: A generalizable framework for anatomical analysis.Plant phenomics (Washington, D.C.) · 2026Article
- ARGONAUTE10 controls cell fate specification and formative cell divisions in the Arabidopsis root.The EMBO journal · 2024Article
- Plant microphenotype: from innovative imaging to computational analysis.Plant biotechnology journal · 2024Review
- Evidence that variation in root anatomy contributes to local adaptation in Mexican native maize.Evolutionary applications · 2024Article
- Gibberellin and abscisic acid transporters facilitate endodermal suberin formation in Arabidopsis.Nature plants · 2023Article
- Salinity induces discontinuous protoxylem via a DELLA-dependent mechanism promoting salt tolerance in Arabidopsis seedlings.The New phytologist · 2022Article
- Systems approaches reveal that ABCB and PIN proteins mediate co-dependent auxin efflux.The Plant cell · 2022Article
- Non-invasive hydrodynamic imaging in plant roots at cellular resolution.Nature communications · 2021Article
- The Tomato Guanylate-Binding Protein SlGBP1 Enables Fruit Tissue Differentiation by Maintaining Endopolyploid Cells in a Non-Proliferative State.The Plant cell · 2020Article
- Fluctuating auxin response gradients determine pavement cell-shape acquisition.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Auxin fluxes through plasmodesmata modify root-tip auxin distribution.Development (Cambridge, England) · 2020Article
- GRANAR, a Computational Tool to Better Understand the Functional Importance of Monocotyledon Root Anatomy.Plant physiology · 2020Article
- Article
- LSM-WBMC systems biology · 2019Article
- Article
- Going with the Flow: Multiscale Insights into the Composite Nature of Water Transport in Roots.Plant physiology · 2018Article
- ThePlant physiology · 2018Article
- Developmental patterning of the sub-epidermal integument cell layer inDevelopment (Cambridge, England) · 2017Article
- An Updated Protocol for High Throughput Plant Tissue Sectioning.Frontiers in plant science · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
It is increasingly important in life sciences that many cell-scale and tissue-scale measurements are quantified from confocal microscope images. However, extracting and analyzing large-scale confocal image data sets represents a major bottleneck for researchers. To aid this process, CellSeT software has been developed, which utilizes tissue-scale structure to help segment individual cells. We provide examples of how the CellSeT software can be used to quantify fluorescence of hormone-responsive nuclear reporters, determine membrane protein polarity, extract cell and tissue geometry for use in later modeling, and take many additional biologically relevant measures using an extensible plug-in toolset. Application of CellSeT promises to remove subjectivity from the resulting data sets and facilitate higher-throughput, quantitative approaches to plant cell research.
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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.