Determining where an object has been is a fundamental challenge for human health, commerce, and food safety. Location-specific microbes in principle offer a cheap and sensitive way to determine object provenance. We created a synthetic, scalable microbial spore system that identifies object provenance in under 1 hour at meter-scale resolution and near single-spore sensitivity and can be safely introduced into and recovered from the environment. This system solves the key challenges in object provenance: persistence in the environment, scalability, rapid and facile decoding, and biocontainment. Our system is compatible with SHERLOCK, a Cas13a RNA-guided nucleic acid detection assay, facilitating its implementation in a wide range of applications.
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http://dx.doi.org/10.1126/science.aba5584 | DOI Listing |
Talanta
January 2025
Instituto de Historia (IH-CCHS), CSIC, C/ Albasanz 26-28, 28037, Madrid, Spain. Electronic address:
Analysis of glass-based artworks is important for authentication purposes. In recent years, there have been rapid advancements and improvements in the characterization of glass objects using different analytical approaches. The present study presents an interdisciplinary and multi-analytical authentication approach that provides useful tools and markers to unmask possible imitations, counterfeiting, and forgeries in Cultural Heritage glass beads by comparing the composition of historical and modern glass beads.
View Article and Find Full Text PDFPLoS One
September 2024
Department of Computer Science, The University of Manchester, Manchester, United Kingdom.
Recording the provenance of scientific computation results is key to the support of traceability, reproducibility and quality assessment of data products. Several data models have been explored to address this need, providing representations of workflow plans and their executions as well as means of packaging the resulting information for archiving and sharing. However, existing approaches tend to lack interoperable adoption across workflow management systems.
View Article and Find Full Text PDFIEEE Trans Vis Comput Graph
September 2024
We present ProvenanceWidgets, a Javascript library of UI control elements such as radio buttons, checkboxes, and dropdowns to track and dynamically overlay a user's analytic provenance. These in situ overlays not only save screen space but also minimize the amount of time and effort needed to access the same information from elsewhere in the UI. In this paper, we discuss how we design modular UI control elements to track how often and how recently a user interacts with them and design visual overlays showing an aggregated summary as well as a detailed temporal history.
View Article and Find Full Text PDFFront Digit Health
June 2024
Centre for Applied Data Science, University of Johannesburg, Johannesburg, South Africa.
Introduction: In the big data era, where corporations commodify health data, non-fungible tokens (NFTs) present a transformative avenue for patient empowerment and control. NFTs are unique digital assets on the blockchain, representing ownership of digital objects, including health data. By minting their data as NFTs, patients can track access, monetize its use, and build secure, private health information systems.
View Article and Find Full Text PDFRofo
May 2024
Institute of Anatomy, Rostock University Medical Center, Rostock, Germany.
Worldwide, the study and examination of human remains and the circumstances of their acquisition for anatomical collection have received great interest. As part of provenance research projects, a large number of collections are being investigated to determine whether the human remains have been acquired in a correct or unlawful way because the people could have been killed in order to be used as "anthropological objects" for research purposes and to become so-called "specimens". These topics have also been addressed by the Institute of Anatomy at the University Medical Center Rostock.
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