Gelato streamlines reproducible and auditable assembly of Western blot figures
Pirozhkova, M. A., Babitz, E., Benhalevy, D.
scientific communication and education
Quick verdict
Presents Gelato, an open-source Fiji plugin logging Western blot figure assembly for audit; promising tool, but claims lack empirical evaluation.
Summary
The authors present Gelato, a free, open-source (AGPL-3.0) Fiji/ImageJ plugin that couples Western blot figure assembly with automatic background logging of processing coordinates. Motivated by documented reporting failures — Kroon et al. (2022) found that of 551 publications over 90% presented only cropped blots and over 95% lacked molecular-weight (Mw) marker indications — the tool lets users click-register Mw markers on colorimetric membrane images, crop and rotate ROIs from position-matched chemiluminescent images in one step, and exports a vector PDF figure plus a human- and machine-readable coordinate log. Marker coordinates are projected onto rotated, resized ROIs via an explicitly specified affine transformation (bicubic raster interpolation). An audit mode reconstructs the figure from the log and supplied source images, overlays crop boundaries and marker positions, performs consistency checks (dimension/aspect-ratio warnings, dual geometric representations cross-checked at one-pixel tolerance), and tolerates partial or externally generated records. The paper's main limitation is evaluative: there is no user study, timing benchmark, error-rate measurement, or worked case study with real problematic data; claims of 'streamlining' and reduced author/reviewer burden rest on qualitative argument and a self-reported feature comparison (Extended data Table 1). The method also assumes marker and blot images share an identical, pixelwise-registered coordinate system. Version 1.0.2 is archived on Zenodo with source on GitHub, and the mathematics is specified in enough detail to reimplement.
Review complete
Assessment at a glance
4
risk flags identified
● high 0
● medium 2
● low 2
5 strengths · 5 weaknesses · 5 author questions
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Key claims under review
- Gelato couples Western blot figure assembly with automatic background logging of crop coordinates, ROI transformations and Mw marker positions into a single log file.
- The exported log plus source images enable a reviewer to reconstruct and inspect the final figure exactly as assembled, without algorithmic judgment.
- An explicitly specified affine transformation preserves the geometric relationship between Mw markers and ROIs through cropping, tilt correction and resizing.
- Embedding provenance capture into routine preparation reduces author and reviewer burden while increasing reporting rigor.
Strengths
Targets a quantified, documented gap
Motivation cites Kroon et al. (2022): of 551 publications, >90% showed only cropped blots, >80% provided no raw images, >95% lacked Mw marker indications; Gelato addresses the figure-assembly provenance stage that densitometry tools (IOCBIO Gel, GelBox, BlotTool) and figure builders (FigureJ, QuickFigures) leave uncovered.
Explicit, re-implementable mathematics
Online Methods specifies the affine transform F_j from source to ROI-local coordinates, the coordinate convention (y downward, clockwise theta), bicubic raster interpolation, and analytic marker projection using only the vertical component — enough for independent reimplementation.
Redundant dual geometric representation
Reviewer-first audit design
Open, archived, versioned
Weaknesses
No empirical evaluation
Core geometric assumption may limit real-world applicability
Self-reported competitive comparison
Central figures unverifiable from text
Journal-submission integration unaddressed
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Scope & Claims
This bioRxiv preprint (posted 2026-09-17, not peer reviewed) introduces Gelato, a free, open-source (AGPL-3.0) Fiji/ImageJ plugin for assembling Western blot figures with automatic provenance logging. Central claims: (1) routine assembly can be coupled with background recording of crop coordinates, ROI transformations and molecular-weight (Mw) marker positions; (2) the resulting log plus raw images enable exact audit and reproduction of the final figure at the reviewer's end; (3) capturing provenance during preparation reduces author/reviewer burden and raises rigor. The motivation is quantified by cited literature: of 551 publications surveyed by Kroon et al. (2022), over 90% presented only cropped blots, over 80% provided no raw images and over 95% gave no Mw marker indications. Gelato is positioned against overlay-based compositors (Bio-Rad Image Lab, QuickFigures, Sciugo) that introduce colorimetric noise, and against manual marker transfer in graphics software (Adobe, Inkscape, PowerPoint) that is labor-intensive and leaves no record.
The remaining sections cover Methodology Assessment, Statistical Evidence, Results & Reproducibility, Limitations & Risks, and Verdict & Recommendations.
- All 5 strengths & 5 weaknesses, analyzed in detail
- 4 risk flags with severity, section & reviewer questions
- Methods & statistical evidence assessment
- 5 questions a peer reviewer would ask
- Full six-dimension evaluation report & recommendations
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Frequently asked questions
What is Gelato?
Gelato is a free, open-source (AGPL-3.0) Fiji/ImageJ plugin that helps researchers assemble Western blot figures while automatically recording every crop, rotation and molecular-weight marker position into a log file, so reviewers can later reconstruct and audit the figure from the original raw images.
How does Gelato make Western blot figures reproducible?
During figure assembly it logs the coordinates of each cropped region and marker projection, exports a vector PDF plus a machine-readable log, and can later rebuild the figure from that log and the raw source images — highlighting crop boundaries and marker positions so reviewers can verify the figure matches the underlying data.
Is Gelato free and where can I get it?
Yes. Gelato is open-source under AGPL-3.0, available on GitHub (masha-rgfj/Gelato-fiji-plugin) and via a Fiji update site; version 1.0.2 is permanently archived on Zenodo (DOI 10.5281/zenodo.22694992).
What evidence shows Gelato improves rigor or saves time?
The paper argues its case qualitatively and cites prior surveys (e.g., of 551 publications, over 90% showed only cropped blots and over 95% lacked molecular-weight markers), but it includes no user study, timing benchmark or error-rate measurements, so the efficiency and rigor benefits are not yet quantified.
About this review
This is an AI-generated preliminary review by Evolve.Pub, produced from the openly available text of the paper. It is not peer review and does not represent the authors' views. The canonical record of the paper is at the publisher link above.
- Fig. 1 and Extended data Fig. 1, which carry the usability and audit-view argument, are described in captions only and could not be visually evaluated from the extracted text.
- Extended data Table 1 was extracted in scrambled order; the competitor comparison was assessed only as summarized in prose.
- The Gelato Manual and supplementary details were not included in the extracted text.
- This is a non-peer-reviewed bioRxiv preprint (posted 2026-09-17); license blocks introduce minor OCR artifacts but do not obscure the science.
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