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MODULE 1. This first module provides an overview of the most commonly found image aberrations in scientific publications and illustrates how they may be detected and verified. Watch the video here.
MODULE 2. The second module offers an overview of commonly found image aberrations in blot images — and provides techniques for manually detecting and verifying these types of image issues. Although examples shown are all Western blots or immunoblots, the screening techniques introduced work equally well for northern blots, southern blots and agarose (DNA/RNA) gels. Watch the video here.
MODULE 3. Here, we zero in on microscopy images: taking a close look at the typical issues that you might encounter in an image screening routine — and offering tips and techniques to better detect and verify irregularities. Dive in here.
The Latest from STM
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Amidst the ongoing issues of research integrity and paper mills, image integrity is a growing concern. The rise of generative AI poses significant additional risks, as it allows for the generation of images and other types of data that are very hard — if not impossible — to detect with current technologies. For this reason,…
STM Report: Trusted Identity in Academic Publishing
As the digital landscape evolves, the foundational trust that has long supported academic publishing faces new vulnerabilities. Rising cases of identity fraud and integrity breaches are challenging the scholarly community to protect research integrity without imposing unnecessary burdens on genuine contributors. In response, STM Solutions released Trusted Identity in Academic Publishing: The Central Role of…
The STM Conference Frankfurt 2024: Advancing Trusted Research in the era of AI
We’re thrilled to invite you to join us this October for the STM Annual Conference in Frankfurt: a night of connection over dinner, followed by a full day of ideation, collaboration and connection—right before the Frankfurt Book Fair. This year, we’ve tailored a program that delves into the theme: Advancing Trusted Research in the AI…
The next step for the STM Integrity Hub
Today marks the launch of the first iteration of the STM Integrity hub’s papermill detection tool, one of a number of initiatives that publishers are developing to ensure the integrity of the publication record. Read the full article at Springer Nature.