Cyto Vision Software
Cyto Vision Software - Related Videos
09:29
A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
0 Views •
Cited by 27 •
2014
We describe an indoor, portable, standardized course that can be used to evaluate obstacle avoidance in persons who have ultralow vision. The course is relatively inexpensive, simple to administer, and has been shown to be reliable and reproducible.
08:25
A Battery of Quantitative Binocular Vision Tests for Adults: Testing Protocols
0 Views •
2026
Here we present a comprehensive battery of tasks to assess binocular vision. Tasks include peripheral stereoacuity and motion-in-depth, which are not assessed by current clinical tests. Incorporating these tasks will provide an in-depth assessment of an individual’s binocularity.
01:24
Vision
0 Views •
2019
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed. Light is absorbed by the rod and cone...
14:28
Using the Horseshoe Crab, Limulus Polyphemus, in Vision Research
0 Views •
Cited by 14 •
2009
In this video we perform electroretinogram recording, optic nerve recording, and intraretinal recording with the American horseshoe crab, Limulus Polyphemus. These electrophysiological paradigms can be used for investigating the neural basis of vision in a research or teaching lab.
08:47
Automated Analysis of C. elegans Swim Behavior Using CeleST Software
0 Views •
Cited by 18 •
2016
An efficient and simple methodology for computer-based analysis of nematode swimming behavior in liquid is described. The method requires little to no investment for C. elegans laboratories. The hardware used is standard, and the computer software for the behavioral analysis (CeleST) is an open source one.
FAQs
Digital imaging tools enhance and organize microscope images so chromosome features can be examined systematically. Identification relies on visible differences in chromosome size, banding pattern, and centromere position. By bringing these features into an organized analysis workflow, the platform helps researchers evaluate chromosome structure and number more efficiently and maintain a clearer record for interpretation.
These characteristics provide complementary visual criteria for arranging chromosomes in a karyotype. Size helps distinguish relative chromosome length, while banding patterns provide recognizable structural detail; centromere position adds another identifying feature. Considering these attributes together supports a more systematic evaluation of chromosome organization, rather than relying on a single visible characteristic.
Specialized modules extend the platform beyond chromosome arrangement by supporting analysis of fluorescence in situ hybridization signals. In this context, the software helps examine where genetic probes appear within cellular or chromosome images. That capability is useful when the biological question concerns probe localization, allowing laboratories to document signal patterns alongside broader assessments of chromosome number and structure.
An analysis can proceed by acquiring microscope images, enhancing them, and organizing the resulting data for review. Researchers can then examine chromosome features, identify chromosomes using size, banding pattern, and centromere position, and construct a karyotype. When fluorescence in situ hybridization is part of the study, a specialized module can analyze signals and probe localization, supporting documentation from image acquisition through interpretation.
Cyto Vision Software can support chromosome research, cancer cytogenetics, prenatal testing, and investigations of genomic abnormalities. In research laboratories, it helps organize and examine chromosome images; in clinical contexts, it can assist evaluation of specimens relevant to prenatal or cancer studies. The same imaging and analysis capabilities therefore serve both basic biology and applied cytogenetic work.
It can help document chromosome number, chromosome structure, and the localization of genetic probes detected through FISH analysis. Combining these observations in an organized digital record supports interpretation when a specimen contains difficult-to-evaluate cellular signals or chromosome patterns. The resulting documentation can also support interpretation and review in chromosome research and laboratory settings.