Survos Workbench
Survos Workbench - Related Videos
11:38
Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench
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Cited by 10 •
2017
Segmentation of three-dimensional data from many imaging techniques is a major bottleneck in analysis of complex biological systems. Here, we describe the use of SuRVoS Workbench to semi-automatically segment volumetric data at various length-scales using example datasets from cryo-electron tomography, cryo soft X-ray tomography, and phase contrast X-ray tomography techniques.
10:58
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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Cited by 24 •
2013
We developed computational de novo protein design methods capable of tackling several important areas of protein design. To disseminate these methods we present Protein WISDOM, an online tool for protein design (http://www.proteinwisdom.org). Starting from a structural template, design of monomeric proteins for increased stability and complexes for increased binding affinity can be performed.
02:02
Inducing Orofacial Neuropathic Pain in a Rat Model via Infraorbital Nerve Ligations
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2025
This video demonstrates the induction of orofacial neuropathic pain in a rat model by ligating the infraorbital nerve. This results in nerve damage and inflammation, causing abnormal pain signaling and mimicking chronic pain conditions, which can be used to study the orofacial pain assay.
02:23
Oral Glucose Tolerance Test (OGTT): Measuring Glucose Metabolism in Mice
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2023
This video introduces how to perform an oral glucose tolerance test on a laboratory mouse.
02:21
Evaluating the Effect of Continuous Drug Infusion into the Mouse Brain on Peripheral Glucose Levels
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2025
This video demonstrates the effect of continuous drug infusion into the mouse brain on blood glucose levels. Glucose metabolism is assessed by collecting blood from a fasted mouse's tail and measuring glucose levels before and after oral glucose administration. Insulin tolerance is evaluated by injecting insulin in the mouse, with glucose levels recorded at specific intervals.
FAQs
Survos Workbench links data import, computational processing, quality assessment, and interactive visualization within a workflow-based interface. This connection lets users move from raw or organized measurements to interpretable results while retaining the sequence of actions used. Keeping these stages together helps researchers examine how processing choices relate to the quality and presentation of biological findings.
Recording the steps used to generate results makes an analysis easier to follow, review, and repeat. In Survos Workbench, workflow tracking supports transparent communication about how biological data were processed and interpreted. This context helps researchers compare analyses more consistently and gives students or collaborators a clearer account of how computational results were produced.
Interactive visualization allows researchers to examine processed results directly rather than relying only on static summaries. Within Survos Workbench, users can inspect patterns in complex datasets and compare samples or experimental conditions through the same analysis environment. This visual feedback can support clearer interpretation and help connect computational processing with biological questions.
A typical workflow can begin by importing biological data, continue through computational processing, and then include quality assessment before interactive visualization and interpretation. The connected sequence provides a consistent way to organize analysis activities. Researchers can use the resulting workflow record to understand how each stage contributed to the final comparison or presentation of results.
Quality assessment provides a dedicated point for examining biological results during the analysis rather than treating interpretation as a separate final step. In the workbench, it is connected to data processing and visualization, allowing researchers to consider result quality alongside computational transformations. This supports more systematic evaluation before findings are compared or communicated.
The environment is useful when an investigation requires systematic comparison of experimental measurements across samples or conditions. By organizing processing, quality assessment, and visualization in a consistent workflow, it helps researchers examine those comparisons while preserving the steps behind them. The approach is especially relevant when complex datasets must be interpreted and communicated clearly.
Its consistent workspace can make computational analysis more accessible to students and researchers by bringing related tasks into one organized setting. The recorded workflow also gives users a clearer way to explain how biological results were generated. In teaching or collaborative research, this combination can support transparent demonstrations, shared interpretation, and more understandable communication of computational findings.