Imagetwin
3.00
0
Imagetwin detects manipulations and duplications in scientific figures, boosting research integrity with advanced AI.
What is Imagetwin?
Imagetwin is an advanced AI-based software that aims to boost the quality and trustworthiness of scientific research by detecting integrity issues in figures from life science articles. This cutting-edge tool assists researchers, peer reviewers, and publishers by identifying inappropriate manipulations and duplications in various figure types such as western blots, microscopy images, and light photography. Imagetwin operates through powerful algorithms capable of swiftly scanning documents or image files to reveal potential integrity issues. The results are conveniently presented on a user-friendly web interface, aiding academic and research institutions in upholding the rigor and credibility of scholarly articles. Noteworthy features of Imagetwin include automated plagiarism detection, manipulation identification, high efficiency, accuracy, and a strong focus on privacy and security by not storing uploaded content and encrypting all server communication.
Who created Imagetwin?
Imagetwin was founded by Markus Zlabinger, who serves as the CTO, and Patrick Starke, who is the CEO of the company. Markus Zlabinger, with a Ph.D. in computer science, leads the technology and product development with expertise in image processing and machine learning. Patrick Starke, a graduate of Vienna University of Economics and Business, manages cooperations and business development. The company, ImageTwin AI GmbH, is located in Vienna, Austria and has received funding from Seedfinancing of the BMDW administered by aws. Imagetwin specializes in AI-based software to enhance the quality and trust in scientific research by detecting integrity issues in figures from life science articles with features such as automated plagiarism detection and manipulation detection.
What is Imagetwin used for?
- User-friendly interface
- Automated Plagiarism Detection: Checks figures against a database of over 50 million images to find reused content across articles
- Manipulation Detection: Identifies duplicates and data fabrication within articles
- Efficiency & Accuracy: Detects integrity issues swiftly with high precision
- Privacy & Security: Does not store uploaded content and ensures encrypted server communication
- Automated Plagiarism Detection
- Manipulation Detection
- Efficiency & Accuracy
- Privacy & Security
- Efficiency & Accuracy in Integrity Issue Detection
- User-Friendly Interface for Results Presentation
- Privacy & Security Measures
- Inappropriate Manipulation and Duplication Detection in Various Figure Types
- Detection of Figure Reuse Across Articles
- Enhancement of Quality and Trust in Scientific Research
- Support for Researchers, Peer Reviewers, and Publishers
- Maintaining Rigor and Credibility of Scholarly Articles
Who is Imagetwin for?
- Data Scientist
- Annotation Expert
- Business Development Manager
- Software developer
How to use Imagetwin?
To use Imagetwin, follow these steps:
- Upload Content: Select a PDF or multiple image files like JPG, PNG, GIF, and others.
- Initiate Scan: With a single button press, the selected content is scanned using the AI-based algorithm.
- Review Results: Within seconds, the results are presented in the web interface for examination.
Imagetwin offers essential features:
- Plagiarism Detection: Checks figures against a vast database to find reused content.
- Manipulation Detection: Identifies duplicates and data fabrication.
- Efficiency & Accuracy: Swiftly detects integrity issues with high precision.
- User-Friendly Interface: Results are displayed on a web interface that is easy to navigate.
- Privacy & Security: Ensures data privacy by not storing uploaded content and encrypted server communication.
Imagetwin's effectiveness has been praised by experts in research integrity for its ability to detect issues in scientific papers promptly and accurately, enhancing the publication integrity workflow. The tool has been instrumental in uncovering duplicated photo panels, spotting previously missed duplicates, and supporting the reviewing process in scholarly publishing.
Pros
- Automated Plagiarism Detection: Checks figures against a database of over 50 million images to find reused content across articles
- Manipulation Detection: Identifies duplicates and data fabrication within articles
- Efficiency & Accuracy: Detects integrity issues swiftly with high precision
- User-Friendly Interface: Results presented quickly on a web interface that is easy to examine
- Privacy & Security: Does not store uploaded content and ensures encrypted server communication
- Automated Plagiarism Detection
- Manipulation Detection
- Efficiency & Accuracy
- Privacy & Security
- Automated Plagiarism Detection: Checks figures against a database of over 50 million images to find reused content across articles.
Cons
- No specific cons or missing features mentioned in the provided information.
Imagetwin Pricing and plans
Paid plans start at €175.00/one-time and include:
- Scans valid for at least 24 months
- Purchase scans immediately after registration
- Varied pricing per number of scans
- Automated Plagiarism Detection
- Manipulation Detection
- Efficiency & Accuracy
Imagetwin FAQs
-
What is Imagetwin?
- Imagetwin is an AI-based software that increases the quality and trust in scientific research by detecting integrity issues in figures from scientific articles.
-
What type of figures can Imagetwin detect issues in?
- Imagetwin detects inappropriate manipulation and duplication in a variety of figure types such as blots, microscopy images, and light photography.
-
How does Imagetwin detect figure reuse?
- Imagetwin checks against a database containing over 50 million images to detect if a figure was reused across different articles.
-
How fast does Imagetwin provide the scanning results?
- The results from Imagetwin are displayed almost immediately on the web interface after scanning, making it both efficient and accurate.
Get started with Imagetwin
Imagetwin reviews
Lai Chen
December 27, 2024
What do you like most about using Imagetwin?
The software has a simple interface that is easy to navigate, making it accessible for users with varying levels of technical expertise.
What do you dislike most about using Imagetwin?
I found that the detection algorithms sometimes miss minor manipulations, which can be critical in scientific publishing.
What problems does Imagetwin help you solve, and how does this benefit you?
It helps in identifying potential integrity issues in my research data, which is essential for maintaining credibility in my field.
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Giovanna Rossi
November 25, 2024
What do you like most about using Imagetwin?
I appreciate the automated plagiarism detection, which is crucial for ensuring the originality of my work.
What do you dislike most about using Imagetwin?
The processing speed can be slow, especially with larger image files, which can be frustrating when working against deadlines.
What problems does Imagetwin help you solve, and how does this benefit you?
It assists in ensuring the integrity of my published figures, helping to avoid potential ethical issues in my research.
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Ethan Johnson
December 12, 2024
What do you like most about using Imagetwin?
The high accuracy in detecting manipulations gives me confidence in the integrity of my submissions.
What do you dislike most about using Imagetwin?
I wish there were more detailed explanations for the detected issues, as it would help in understanding the results better.
What problems does Imagetwin help you solve, and how does this benefit you?
It addresses issues of data integrity, allowing for more robust peer reviews and enhancing the credibility of my published work.
How would you rate Imagetwin?
What’s your thought?
Are you sure you want to delete this item?
Report review
Helpful (0)
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