Ispyb Information System
Ispyb Information System - Related Videos
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In the context of the virtual celebrity experience, content quality most strongly drives satisfaction; satisfaction, in turn, increases purchase intention indirectly via loyalty. Personalization strengthens the satisfaction-loyalty link, so firms should prioritize emotion-evoking, narrative-consistent virtual celebrity content and personalized loyalty programs.
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2026
Short-form drama environments provide dense reinforcement conditions through ultra-short episodes and frequent re-entry. Using an S-O-R model and PLS-SEM, this study examined continuance intention among short-form drama users. The findings indicate that affective satisfaction was positively associated with habit, and habit was positively associated with continuance intention.
03:47
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2024
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07:57
Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
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Cited by 1 •
2022
Here we present a protocol to perform preclinical positron emission tomography-based radiotherapy in a rat glioblastoma model using algorithms developed in-house to optimize the accuracy and efficiency.
![Studying Metabolic Brain Connectivity Using 2-Deoxy-2-[<sup>18</sup>F]Fluoro-D-Glucose Dynamic Positron Emission Tomography at the Single-subject Level](/_next/image?url=https%3A%2F%2Fcloudfront.jove.com%2FCDNSource%2Fteasers%2F67458.jpg%3Fv%3D2026-09-02%252001%253A45%253A48&w=750&q=75)
07:28
Studying Metabolic Brain Connectivity Using 2-Deoxy-2-[18F]Fluoro-D-Glucose Dynamic Positron Emission Tomography at the Single-subject Level
0 Views •
2025
The acquisition of dynamic positron emission tomography (PET) data and reconstruction into time frames allows for metabolic brain connectivity analysis at the single-subject level. We describe a method to acquire [18F]FDG dynamic PET data of the rat brain and obtain a connectivity matrix through the extraction of time-activity curves of volumes of interest.
FAQs
ISPyB creates continuity between sample registration, shipment records, beamline sessions, diffraction images, and processing outcomes. These linked records allow a researcher to follow a result back to the sample and experiment that generated it, rather than treating images or processed data as isolated files. This connection is especially valuable when comparing multiple preparations or experiments on the same macromolecule.
Data-collection parameters provide experimental context for interpreting diffraction images and processing outcomes. When those parameters remain associated with the relevant beamline session and sample records, researchers can examine results alongside the conditions under which data were obtained. This makes the database useful for monitoring data quality and for understanding why related experiments may produce different structural results.
A centralized record system brings sample, experiment, image, and processing information into a searchable structure. Researchers can locate the records associated with a result, review the sequence of activities that produced it, and share consistent information with collaborators. In biochemistry, this organization supports reproducibility by preserving relationships that might otherwise be distributed across separate laboratory and synchrotron records.
A workflow can begin with sample registration and shipment documentation, continue through a beamline session and its data-collection parameters, and end with diffraction images and processing outcomes. Following this sequence helps researchers verify which biological material was examined, identify the experiment associated with a dataset, and connect processed results to the original structural study.
In protein structure determination, the system organizes information generated as samples move from laboratory preparation into synchrotron experiments. Researchers can relate protein samples and shipments to beamline measurements, diffraction images, and processing results. This organization helps structural biochemists track experiments across stages and maintain a clearer record of how biological material contributed to structural conclusions.
Synchrotron structural studies generate large and complex datasets that can be difficult to coordinate across laboratory and beamline workflows. ISPyB addresses this challenge by making experiment-related records searchable and connecting results with their samples and collection context. The resulting organization supports collaboration, data-quality monitoring, and more reliable management of information used in structural research.