Evidence map›Paper›PMID 42181081›Full record

ArticleMethodsX2026

IndentAtlas: an open-source toolbox for indentation mapping analysis.

Andre E Vellwock, Shahrouz Amini, Chiara Micheletti

Abstract read
In one paragraph

Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Andre E VellwockDepartment of Biomaterials, Max Planck Institute of Colloids and Interfaces, Potsdam Science Park, Am Mühlenberg 1, 14476 Potsdam, Germany.
Shahrouz AminiDepartment of Biomaterials, Max Planck Institute of Colloids and Interfaces, Potsdam Science Park, Am Mühlenberg 1, 14476 Potsdam, Germany.
Chiara MichelettiDepartment of Biomaterials, Max Planck Institute of Colloids and Interfaces, Potsdam Science Park, Am Mühlenberg 1, 14476 Potsdam, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indentation is a widely used technique for characterizing the micro- and nanomechanical properties of engineered and biological materials. Despite its broad adoption, indentation data analysis, especially of large maps, still relies heavily on user input for artifact cleaning, data processing, and visualization; understanding the data before processing and analysis can drastically affect interpretation. In addition, published results of indentation maps are often generated using proprietary, non-open-source software, and commonly lack the capability to accurately correlate the probed regions of interest (e.g., optical images) with the plotted mechanical properties such as reduced modulus. Here, we present IndentAtlas, an open-source toolbox developed by and for the micro- and nanoindentation community, in which steps of post-mapping data analysis and visualization are combined into a single software platform. The toolbox focuses on the analysis of pre-processed data, rather than on curve fitting or raw data extraction. The main contributions of this work are as follows:•A comprehensive toolbox that enables indentation users to better understand, clean, analyze, and visualize measurement results within a unified environment.•A dedicated function for overlaying images of the sample with spatially resolved indentation data, such as reduced modulus and hardness.

Indexed as

Data analysisData cleaningData curationIndentation mappingMechanical characterizationNanoindentationSoftwareVisualization

Identifiers

PMID42181081
PMCPMC13191618

What OpenQuestion holds

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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.