Beamline Visualization
Beamline Visualization - Related Videos
09:00
A Sample Preparation Pipeline for Microcrystals at the VMXm Beamline
0 Views •
Cited by 10 •
2021
The signal-to-noise ratio of data is one of the most important considerations in performing X-ray diffraction measurements from microcrystals. The VMXm beamline provides a low-noise environment and microbeam for such experiments. Here, we describe sample preparation methods for mounting and cooling microcrystals for VMXm and other microfocus macromolecular crystallography beamlines.
11:09
Online Size-exclusion and Ion-exchange Chromatography on a SAXS Beamline
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Cited by 40 •
2017
The determination of the solution structure of a protein by small angle X-ray scattering (SAXS) requires monodisperse samples. Here, we present two possibilities to ensure minimal delays between sample preparation and data acquisition: online size-exclusion chromatography (SEC) and online ion-exchange chromatography (IEC).
11:49
Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature
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Cited by 62 •
2013
High resolution x-ray computed tomography (HRCT) is a non-destructive diagnostic imaging technique that can be used to study the structure and function of plant vasculature in 3D. We demonstrate how HRCT facilitates exploration of xylem networks across a wide range of plant tissues and species.
09:44
Methods to Test Visual Attention Online
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Cited by 26 •
2015
To replicate laboratory settings, online data collection methods for visual tasks require tight control over stimulus presentation. We outline methods for the use of a web application to collect performance data on two tests of visual attention.
10:32
Sample Preparation and Transfer Protocol for In-Vacuum Long-Wavelength Crystallography on Beamline I23 at Diamond Light Source
0 Views •
Cited by 2 •
2021
Here, we present a protocol for cryogenic sample preparation and transfer of crystals into the vacuum endstation on beamline I23 at Diamond Light Source, for long-wavelength macromolecular X-ray crystallography experiments.
FAQs
By displaying the radiation path alongside optical components, the sample, and the detector, Beamline Visualization makes the experimental chain easier to follow. A change in beam position or sample alignment can then be considered in relation to instrument geometry and data-collection conditions. This supports more informed interpretation of how setup changes may influence the recorded signal.
Sample alignment and instrument geometry determine how the beam reaches the biological sample and how the resulting measurement is captured. Showing these relationships graphically helps researchers inspect whether the sample, beam position, and detector occupy the intended arrangement. In biochemistry experiments, this is especially useful when planning or adjusting measurements from proteins, nucleic acids, or other biomolecular samples.
A beamline representation helps researchers examine how adjustments to beam position, sample alignment, optical components, or data-collection conditions relate to the measured outcome. It does not replace the measurement itself; instead, it provides an organized view of the setup for comparing configurations, identifying possible sources of unexpected signals, and connecting instrument changes with structural measurement results.
Researchers can inspect the arrangement of optical components, follow the radiation path to the sample, review detector placement, and consider the intended data-collection conditions before measurement. During planning, this view helps connect instrument geometry with the requirements of a protein, nucleic acid, or other biomolecular sample. The result is a clearer shared basis for preparing the experiment.
During an experiment, the graphical representation gives researchers a common view of beam position, sample alignment, component arrangement, and detector geometry. If the setup or recorded signal does not behave as expected, this view can help focus inspection on relationships within the beamline rather than on isolated components. It also supports communication when multiple researchers diagnose or adjust the setup.
Structural measurements of biological molecules depend on the relationship between the instrument setup and the collected signal. Visualization preserves that relationship by showing the path from radiation through the sample to the detector, together with relevant alignment and collection conditions. Researchers can use this context when discussing results from proteins, nucleic acids, and other biomolecular samples, improving interpretation and experimental communication.