Image Manipulation Detection Software in Research

Image manipulation in scientific figures can mislead readers and compromise research integrity. Our tool detects inappropriate splicing, cloning, hidden edits, and more, in research images.

Trusted Image Integrity Solutions

Purpose-built technology for detecting duplicates and ensuring research transparency.

Detects Inappropriate Edits

Our AI model identifies signs of splicing, copy-move forgeries, and localised alterations in microscopy, histology, and western blot images.

Designed for Scientific Research

Trained on real-world research images, our system detects scientific image alteration relevant to the academic publishing process.

Continuously Refined for Accuracy

Our manipulation detection is regularly improved using real-case feedback and emerging manipulation techniques.

Scientific Image Manipulation Detection

Manipulated images can distort the scientific record, whether through splicing, cloning, or contrast enhancement. Imagetwin’s manipulation detection tool helps researchers, academic institutions, and publishers flag inappropriate visual edits before publication.
Our AI model uses deep learning and forensic image analysis to identify suspect areas in figures, including western blots, microscopy, and histology images.

How Imagetwin Detects Image Manipulations

With user-friendly AI tools for image analysis, integrity checks in scientific papers are accessible without sacrificing effectiveness.

1

Paper or Image Submission

User uploads entire manuscripts, files or individual images to our secure platform for analysis.

2

AI-Powered Analysis

Our manipulation detection engine performs a detailed forensic scan of each image using deep learning and pattern recognition techniques.
3

Confidence Score & Reporting

Receive a comprehensive report highlighting detected issues. Each flagged figure is assigned a confidence score, helping users to assess risks

Powerful Features for Manipulation Detection

AI-Powered Image Recognition

Detects splicing seams, cloned areas, and brightness/contrast manipulation.

Confidence Scores

Flagged images are assigned a detection probability score, helping users to assess risks more accurately.

Bulk Scanning

Analyze large datasets efficiently with our batch-scanning feature. Ideal for publishers, journals, and institutions.

Comprehensive Reports

Easily generate detailed PDF reports summarising all flagged manipulations with visual evidence.

Data Encryption

Your data is protected with industry-standard encryption and security best practices.

All-In-One Integrity Analysis

Our platform also detects image duplication, plagiarism and AI-generation.

Why Choose Imagetwin?

Image manipulation in scientific figures presents a serious challenge to research integrity. Imagetwin provides targeted tools to detect these issues early and accurately.
Built for Scientific Image Manipulation
The system is trained specifically on scientific image types such as microscopy, histology, and western blots, allowing it to detect subtle and complex forms of manipulation.
Our detection process is designed to be efficient, helping journals, publishers, and institutions identify concerns early in the publication process.
We prioritize data encryption and privacy, ensuring your files remain confidential.
Detection capabilities are regularly updated based on real-world use, emerging manipulation techniques, and input from academic users.
Our technology is developed with input from publishers, universities, and researchers, ensuring real-world applicability in academic and scientific publishing.

Protect Research Integrity with Confidence

Start using Imagetwin to detect image integrity issues and support trustworthy research publishing.

Frequently asked questions

Imagetwin is software designed to detect integrity issues in figures of scientific articles. It helps identify inappropriate manipulations and duplications in various figure types, including western blots, microscopy images, and light photography.

Imagetwin is beneficial for researchers, peer reviewers, journal editors, and institutions aiming to uphold the quality and trustworthiness of scientific publications by ensuring the integrity of visual data.

Users can upload a PDF or multiple image files to Imagetwin. The software then scans the content using algorithms and vast databases of published scientific figures to detect potential integrity issues. Within seconds, results are presented through a web interface, highlighting any detected problems for review.

Yes, we prioritize data privacy and security, ensuring that all image indexing and exchanges are protected with industry-standard encryption and security best practices.

Create an account and start using Imagetwin immediately. We prepared a few example documents that you can scan free of charge.

Yes, Imagetwin is a powerful addition to the peer-review process. It automatically detects various integrity issues, which can then be quickly verified by a reviewer, enhancing the efficiency and accuracy of the review process. Imagetwin also partners with industry leaders in publishing and scholarly workflows, such as Morressier, TNQ Technologies and more, transforming how research is submitted, reviewed and published.

For more detailed guidance on using Imagetwin, contact our support team through our Contact Us page.