3d Refractive Index
3d Refractive Index - Related Videos
13:59
Reflection and Refraction
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2023
Source: Derek Wilson, Asantha Cooray, PhD, Department of Physics & Astronomy, School of Physical Sciences, University of California, Irvine, CA Light travels at different speeds depending on the material through which it is propagating. When light travels from one material to another, it will either slow down or speed up. In order to conserve energy and momentum, the light must change the direction in which it propagates. This bending of light is known as refraction. Some fraction of the...
09:54
Fabrication of Refractive-index-matched Devices for Biomedical Microfluidics
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Cited by 6 •
2018
This protocol describes the fabrication of microfluidic devices from MY133-V2000 to eliminate artifacts that often arise in microchannels due to the mismatching refractive indices between microchannel structures and an aqueous solution. This protocol uses an acrylic holder to compress the encapsulated device, improving adhesion both chemically and mechanically.
05:36
Subjective Refraction Test Using a Smartphone for Vision Screening
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Cited by 1 •
2024
This paper presents the protocols and clinical validation data for using a smartphone app to subjectively measure refractive error.
01:26
Influence of Earth's Curvature and Atmospheric Refraction on Leveling
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2025
During leveling, the Earth's curvature and atmospheric refraction introduce deviations in the line of sight from a true horizontal reference. When the line of sight is leveled, it remains perpendicular to the plumb line only at a single point. Beyond this, it deviates due to the Earth’s curvature, represented by the correction C. For a sight distance D, the deviation can be derived using the relationship:This relationship shows that the deviation increases quadratically with distance. Over a...
14:03
Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish
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Cited by 38 •
2013
The use of a 3D automatic video system that can track individual and groups of zebrafish is described. As application example we explore the effects of the NMDA-receptor antagonist MK-801 on shoals of zebrafish.
FAQs
Computational reconstruction uses measured optical effects, including phase changes and light scattering, to infer refractive-index values at different locations throughout a specimen. The result is a volumetric map in which spatial differences can be examined rather than collapsed into one image plane. This approach connects recorded light behavior to internal organization and makes changes within cells or particles measurable.
Spatial variation allows investigators to examine morphology and organization within biological specimens. Maps can characterize whole-cell shape, subcellular organization, and microbial particles as distinct three-dimensional features. In infection studies, comparing these patterns can help reveal changes associated with infection or altered host-pathogen interactions without restricting analysis to a single two-dimensional view.
The method provides quantitative structural information without relying solely on fluorescent labels. This can support observations of cells, microbial particles, and host-pathogen interactions while preserving specimens for complementary analyses. Used alongside fluorescence or other measurements, the refractive-index map adds a label-independent view of morphology and organization rather than replacing every specialized imaging approach.
A typical workflow begins by measuring optical effects produced as light passes through or interacts with the specimen, such as phase changes or scattering. Computational methods then reconstruct refractive-index values throughout the measured volume. Researchers can inspect the resulting map for internal structure, morphology, or spatial changes, making the workflow suitable for volumetric biological characterization.
In immunology and infection studies, the maps can characterize host cells, microbial particles, subcellular organization, and interactions between pathogens and host cells. Researchers can use these structural measurements to examine infection-associated changes and compare biological states. Because the approach does not depend exclusively on fluorescent labels, it can broaden analysis of specimens selected for complementary investigations.
The measurements support analysis of cell morphology, internal organization, infection-associated alterations, and dynamic biological responses. A three-dimensional view helps researchers follow how structural features vary within a specimen rather than relying only on projected images. The resulting information can contribute to studies of host-pathogen interactions and other changes occurring during biological responses.
Preserving the specimen allows the refractive-index measurement to serve as one part of a broader experimental workflow. After structural characterization, the same specimen can remain available for complementary analyses, rather than being consumed by the initial measurement. This is particularly relevant when researchers need to relate three-dimensional morphology to additional observations in immunology or infection research.