Chemical Volume Reconstruction
Chemical Volume Reconstruction - Related Videos
10:59
Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands
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Cited by 10 •
2014
We present an image registration approach for 3-dimensional (3D) histology volume reconstruction, which facilitates the study of the changes of an organ at the level of macrostructures made up of cells . Using this approach, we studied the 3D changes between wild-type and Igfbp7-null mammary glands.
10:13
Eye Irritation Test (EIT) for Hazard Identification of Eye Irritating Chemicals using Reconstructed Human Cornea-like Epithelial (RhCE) Tissue Model
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Cited by 10 •
2015
We have developed an eye irritation test which utilizes a three dimensional reconstructed human cornea-like epithelial (RhCE) tissue model. The test is able to discriminate between ocular irritant and corrosive materials (GHS Categories 1 and 2 combined) and those that do not require labeling (GHS No Category).
06:32
A Simple, Low-cost, and Robust System to Measure the Volume of Hydrogen Evolved by Chemical Reactions with Aqueous Solutions
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Cited by 15 •
2016
The study of methods to generate on-demand hydrogen for fuel cells continues to grow in importance. However, systems to measure hydrogen evolution from the reaction of chemicals with water can be complicated and expensive. This article details a simple, low-cost, and robust method to measure the evolution of hydrogen gas.
02:41
Constant Volume Calorimetry
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2020
Calorimeters are useful to determine the heat released or absorbed by a chemical reaction. Coffee cup calorimeters are designed to operate at constant (atmospheric) pressure and are convenient to measure heat flow (or enthalpy change) accompanying processes that occur in solution at constant pressure. A different type of calorimeter that operates at constant volume, colloquially known as a bomb calorimeter, is used to measure the energy produced by reactions that yield large amounts of heat and...
02:52
Chemical Formulas
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2020
A chemical formula presents information about the proportions of atoms constituting a particular chemical compound or molecule, mainly using symbols of elements and numbers. At times other symbols, such as dashes, parentheses, brackets, commas, plus, and minus signs, are also used. A chemical formula can be one of three types – molecular, empirical, and structural. Molecular Formula The molecular formula represents a molecule or a chemical compound using chemical symbols (to indicate the...
FAQs
Geometric models translate molecular coordinates or spatial measurements into boundaries that represent occupied chemical space. Surface generation then makes those boundaries visible and usable for calculation, while volume calculations quantify the resulting region. Because the selected geometric representation affects how interfaces and packing appear, it directly influences structural interpretation and comparisons between reconstructed chemical environments.
Spatial coordinates provide positional information, but chemical identities indicate what occupies each location. Combining both types of data allows the reconstructed representation to connect composition with structure rather than treating space as chemically uniform. This distinction supports interpretation of molecular organization, chemically defined regions, and structural changes that would not be captured by spatial measurements alone.
Reconstructed volume can show how molecules occupy space, where packing produces crowded or open regions, and how boundaries form between chemically distinct areas. These features provide quantitative insight into interfaces and spatial organization. The resulting representation helps researchers relate molecular arrangement to the geometry of a structure, material, or chemically defined environment.
A typical workflow begins by assembling chemical identities with spatial measurements or molecular coordinates. Researchers then apply a geometric model, generate a surface for the selected region, and calculate its volume. The reconstructed representation can subsequently be visualized and interpreted in relation to composition, structure, packing, accessible space, or interfaces.
In molecular modeling, the approach is useful when researchers need to connect a molecule's chemical composition with its three-dimensional structural arrangement. It can support structural interpretation by turning coordinate-based information into a measurable spatial representation. Comparing reconstructed regions can also help describe how chemical structure changes alter occupied space or related geometric features.
For porous or heterogeneous materials, Chemical Volume Reconstruction helps characterize regions that differ in composition or spatial organization. Its calculations can provide insight into accessible space, interfaces, and the distribution of occupied volume within a nonuniform material. These outputs support interpretation of how chemical and structural heterogeneity shape the material's reconstructed three-dimensional environment.