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¹Department of Anesthesiology, University of Rochester Medical Center, Rochester, New York, United States.

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|March 27, 2025

Summary

This summary is machine-generated.

This paper presents a toolbox of software and utilities for discovering and reporting scientific image manipulation in bioscience research. It aims to help identify and remove problematic publications from the scientific literature.

Keywords:

forensics image manipulation misconduct

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Area of Science:

Bioscience research
Scientific integrity
Image analysis

Background:

Image manipulation in scientific literature is a persistent issue.
New tools for image analysis and reporting have emerged since 2011.
Identifying problematic scientific images is a common challenge.

Purpose of the Study:

To outline a toolbox for discovering and reporting scientific image manipulation.
To provide a reference for enhancing the removal of problematic papers.
To address the question of how to find instances of image manipulation.

Main Methods:

Review and compilation of common software and utilities.
Description of tools for image analysis.
Explanation of reporting mechanisms for problematic data.

Main Results:

A curated toolbox of resources for identifying image manipulation.
A systematic approach to the discovery and reporting process.
Enhanced methods for ensuring scientific accuracy.

Conclusions:

The presented toolbox aids in the detection of scientific image manipulation.
Effective use of these tools can improve the integrity of bioscience literature.
This resource supports the removal of unreliable research from scientific discourse.