Auto-cho Software
Auto-cho Software - Related Videos
05:06
Tumor Allotransplantation in Drosophila melanogaster with a Programmable Auto-Nanoliter Injector
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Cited by 10 •
2021
This protocol provides detailed guidance for the initial and continued generational allotransplantation of Drosophila tumors into the abdomen of adult hosts for studying various aspects of neoplasia. Using an autoinjector apparatus, researchers can achieve improved efficiency and tumor yields compared to those achieved by traditional, manual methods.
08:15
Use of High-Throughput Automated Microbioreactor System for Production of Model IgG1 in CHO Cells
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Cited by 11 •
2018
A detailed protocol for the concurrent operation of 48 parallel cell cultures under varied conditions in a microbioreactor system is presented. Cell culture process, harvest and subsequent antibody titer analysis are described.
01:13
meta-Directing Deactivators: –NO2, –CN, –CHO, –CO2R, –COR, –CO2H
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2023
All meta-directing substituents are deactivating groups. These substituents withdraw electrons from the aromatic ring, making the ring less reactive toward electrophilic substitution. For example, the nitration of nitrobenzene is 100,000 times slower than that of benzene because of the deactivating effect of the nitro group. The first step in an electrophilic aromatic substitution is the addition of an electrophile to form a resonance-stabilized carbocation. The energy diagrams for the...
10:41
VisualEyes: A Modular Software System for Oculomotor Experimentation
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Cited by 28 •
2011
Neural control and cognitive processes can be studied through eye movements. The VisualEyes software allows an operator to program stimuli on two computer screens independently using a simple, custom scripting language. The system can stimulate tandem eye movements (saccades and smooth pursuit) or opposing eye movements (vergence) or any combination.
00:05
Evaluating Skilled Prehension in Mice Using an Auto-Trainer
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Cited by 1 •
2019
Method to assess the impact of training on motor skills is a useful tool. Unfortunately, most behavioral assessments can be labor intensive and/or expensive.We describe here a robotic method of assessing prehension (reach-to-grasp) skill in mice.
FAQs
The software brings experimental nuclear magnetic resonance data into an organized analytical workflow, then compares observed signal patterns with characteristic features associated with sugar residues, anomeric configurations, and glycosidic linkages. This matching process helps connect individual spectral observations with structural elements, giving researchers a more systematic basis for assigning complex carbohydrate structures.
Anomeric configurations and glycosidic linkages describe important structural features that distinguish sugar residues and their connections. Auto-cho Software uses characteristic NMR signal patterns associated with these features to support more specific assignments than a general spectral description alone. This distinction helps researchers evaluate the many possible connectivities encountered when interpreting oligosaccharide structures.
Overlapping resonances can obscure individual signals and make manual interpretation more difficult, particularly when an oligosaccharide contains numerous possible connectivities. Auto-cho Software addresses this challenge by organizing the available experimental data and matching recognizable signal patterns to structural features. The resulting assistance can reduce repetitive manual analysis and support more consistent interpretation of complicated spectra.
A supported workflow begins with experimental nuclear magnetic resonance data, followed by organization of the observations and comparison with characteristic signal patterns. Researchers can then use the matched features to examine sugar residues, anomeric configurations, and glycosidic linkages as part of structural assignment. This approach provides a structured path from spectral information toward interpretation of an oligosaccharide or related compound.
The software is relevant wherever researchers need to characterize or compare complex carbohydrate structures. Its uses extend across carbohydrate chemistry, natural-product research, and glycomics, where oligosaccharides and biologically important glycans are common subjects. By supporting interpretation of experimental NMR information, it can contribute to studies that require organized and reproducible structural analysis.
Auto-cho Software can aid structural assignment by linking NMR signal patterns with residue identities, anomeric configurations, and glycosidic connections. These assignments help researchers characterize oligosaccharides and related compounds, while organized analysis can make results easier to compare across structures. The approach also supports reproducible workflows for investigating biologically important glycans in chemistry and glycomics research.