Tissue-scale Imaging
Tissue-scale Imaging - Related Videos
07:20
A Tissue Clearing Method for Neuronal Imaging from Mesoscopic to Microscopic Scales
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Cited by 6 •
2022
The protocol provides a detailed method of neuronal imaging in brain slice using a tissue clearing method, ScaleSF. The protocol includes brain tissue preparation, tissue clarification, handling of cleared slices and confocal laser scanning microscopy imaging of neuronal structures from mesoscopic to microscopic levels.
02:41
pH Scale
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2020
Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
07:57
Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals
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2017
A methodology is described herein for representing anatomical imaging data within crystals. We create scaled three-dimensional models of biomedical imaging data for use in Sub-Surface Laser Engraving (SSLE) of crystal glass. This tool offers a useful complement to computational display or three-dimensionally printed models used within clinical or educational settings.
03:33
Tissue Immunostaining for Imaging Mass Cytometry
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2026
Source:Jake Griner1, Arwen Wedgeworth2, Brenton Puckett2, Kacey Idouchi1, Slivia Guglietta2, Carsten Krieg11Department of Pathology and Laboratory Medicine, Medical University of South Carolina.2Department of Regenerative Medicine and Cell Biology, Medical University of South Carolina.The video describes the preparation of a tissue sample for imaging mass cytometry. The tissue is first processed to unmask the antigen epitopes, permeabilize the cells, and block non-specific antibody binding...
11:35
Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
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Cited by 16 •
2010
A dual-mode imaging system was developed for non-contact assessment of cutaneous tissue oxygenation and vascular function.
FAQs
Optical sectioning is central because it separates information from different depths within a specimen, allowing researchers to assemble spatially resolved views rather than rely on a single projected image. When combined with three-dimensional acquisition, this approach preserves relationships among cells and structures across tissue depth, which is important for interpreting coordinated developmental events.
Fluorescent labeling links visible signal to selected cells, structures, or molecularly associated features in the specimen. The resulting patterns can be examined alongside tissue architecture, helping investigators relate a signal’s location to processes such as division, migration, differentiation, or remodeling. Interpretation therefore depends on both the labeled feature and its position within the larger tissue context.
Computational reconstruction converts image planes into a three-dimensional representation that can be inspected and quantified. This step is more than visual presentation: it organizes spatial information so researchers can evaluate relationships among structures and follow architectural changes across a tissue-sized specimen. Such reconstructions support quantitative analysis of morphogenesis and organ formation rather than relying only on descriptive views.
Compared with single-cell microscopy, tissue-scale imaging retains broader spatial context; compared with whole-organism observation, it provides more detailed views of cellular and structural organization. Its value lies in connecting these scales without depending entirely on physical sectioning, which can cause loss of information about three-dimensional relationships. This makes the approach useful when tissue architecture is itself the developmental question.
A typical workflow combines fluorescent labeling, optical sectioning, three-dimensional image acquisition, and computational reconstruction. Researchers first establish a signal that marks the cells or structures of interest, collect information through the tissue, and then assemble the data into a spatial model. The model can subsequently be examined for organization, dynamics, and relationships relevant to development.
To study development over time, investigators compare image data from successive stages or observations, focusing on changes in cell division, migration, differentiation, and tissue remodeling. This temporal perspective helps connect individual cellular behaviors with larger architectural outcomes. It can reveal how coordinated changes contribute to morphogenesis or organ formation, rather than treating each developmental stage as an isolated snapshot.
In developmental biology, the method is particularly useful for examining how molecular signals correspond to changing tissue architecture. Spatially resolved datasets can support analysis of morphogenesis, organ formation, and developmental defects by showing where cellular events occur within the tissue. The approach therefore helps bridge molecular or cellular observations with larger-scale changes in developing structures.