Evidence map›Paper›PMID 26019715›Full record

ArticlePlant methods2015

TRiP: Tracking Rhythms in Plants, an automated leaf movement analysis program for circadian period estimation.

Kathleen Greenham, Ping Lou, Sara E Remsen, Hany Farid, C Robertson McClung

Open access · goldAbstract read
In one paragraph

Article in Plant methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.2field-weighted citation impact, top 4% of its field
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

18 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Dim green light enables day-and-night monitoring of leaf movements.The Plant journal : for cell and molecular biology · 2026
    Article
  3. bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. A Point Mutation inPlants (Basel, Switzerland) · 2022
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
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

5 authors at 1 institution in 1 country.

Kathleen Greenham *Department of Biological Sciences, Dartmouth College, 78 College Street, Hanover, 03755 USA.
Ping Lou *Department of Biological Sciences, Dartmouth College, 78 College Street, Hanover, 03755 USA.
Sara E RemsenDepartment of Biological Sciences, Dartmouth College, 78 College Street, Hanover, 03755 USA.
Hany FaridDepartment of Computer Science, Dartmouth College, 6211 Sudikoff Lab, Hanover, 03755 USA.
C Robertson McClungDepartment of Biological Sciences, Dartmouth College, 78 College Street, Hanover, 03755 USA.
Dartmouth College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA well characterized output of the circadian clock in plants is the daily rhythmic movement of leaves. This process has been used extensively in Arabidopsis to estimate circadian period in natural accessions as well as mutants with known defects in circadian clock function. Current methods for estimating circadian period by leaf movement involve manual steps throughout the analysis and are often limited to analyzing one leaf or cotyledon at a time.

resultsIn this study, we describe the development of TRiP (Tracking Rhythms in Plants), a new method for estimating circadian period using a motion estimation algorithm that can be applied to whole plant images. To validate this new method, we apply TRiP to a Recombinant Inbred Line (RIL) population in Arabidopsis using our high-throughput imaging platform. We begin imaging at the cotyledon stage and image through the emergence of true leaves. TRiP successfully tracks the movement of cotyledons and leaves without the need to select individual leaves to be analyzed.

conclusionsTRiP is a program for analyzing leaf movement by motion estimation that enables high-throughput analysis of large populations of plants. TRiP is also able to analyze plant species with diverse leaf morphologies. We have used TRiP to estimate period for 150 Arabidopsis RILs as well as 5 diverse plant species, highlighting the broad applicability of this new method.

Indexed as

Circadian periodImagingLeaf movementMotion estimation

Identifiers

PMID26019715
PMCPMC4445800
OpenAlexW2165454264

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.