Spatial Architecture
Spatial Architecture - Related Videos
13:44
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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Cited by 13 •
2013
We demonstrate methods for the detection of architectural distortion in prior mammograms. Oriented structures are analyzed using Gabor filters and phase portraits to detect sites of radiating tissue patterns. Each site is characterized and classified using measures to represent spiculating patterns. The methods should assist in the detection of breast cancer.
08:52
Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
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Cited by 1 •
2025
This protocol details the key steps to enable rigorous and reproducible measurement of both glycogen and N-linked glycans using mass spectrometry imaging.
07:51
Spatial Cueing
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Attention refers to the limited human ability to select some information for processing at the expense of other stimuli in the environment. Attention operates in all sensory modalities: vision, hearing, touch, even taste and smell. It is most often studied in the visual domain though. A common way to study visual attention is with a spatial cueing paradigm. This paradigm allows researchers to measure the consequences of focusing...
08:13
Spatial Memory Testing Using Mazes
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2023
Spatial learning and memory are neurological functions that allow us to remember important details associated with our environment. Scientists test this phenomenon in rodents using different types of mazes like Morris water maze, Radial water maze, and Barnes maze. By investigating spatial memory in rodents, neurobehavioral scientists can gain valuable understanding of how these processes are altered following brain damage in humans. Here, the neurobiology behind spatial memory is briefly...
01:14
Polymer Classification: Architecture
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2023
Polymers are classified as linear or branched on the basis of their chain architecture. The polymer chains in linear polymers have a long chain-like structure with minimal to no branching at all. Even if a polymer features large substituent groups on the monomer, which appear as branches to the skeleton, it is not considered a branched polymer. A branched polymer contains secondary polymer chains that arise from the main polymer chain. The branching occurs when the polymer growth shifts from...
FAQs
Uneven access to oxygen, nutrients, and metabolites creates local conditions that can change malignant-cell behavior and alter immune access. These gradients are not merely background features; they help produce functionally distinct tumor regions. Comparing areas with different chemical conditions can therefore reveal why invasion, immune activity, or treatment response varies across a single tumor.
Tumor neighborhoods bring malignant cells, stromal cells, extracellular matrix, vessels, and signaling molecules into particular spatial relationships. Those relationships can regulate communication and determine which cells can approach, persist, or invade specific regions. Identifying these neighborhoods helps researchers connect local tissue organization with disease progression rather than treating the tumor as a uniform mass.
Treatment response may differ between tumor subregions because local organization shapes oxygen availability, nutrient access, secreted signals, and immune-cell entry. A therapy can therefore encounter distinct biological conditions within the same tumor. Mapping these differences helps researchers investigate whether resistance or incomplete response reflects interactions between malignant cells and their surrounding tissue context.
Researchers can combine imaging, histology, three-dimensional culture, and spatial transcriptomics to study organization at different levels. Imaging and histology reveal tissue structure and cellular arrangement, three-dimensional culture provides a model for examining organization, and spatial transcriptomics connects gene-expression patterns with location. Together, these approaches can expose relationships that measurements from dissociated cells may overlook.
Spatial transcriptomics can help associate molecular activity with specific locations inside a tumor. When integrated with structural observations from imaging or histology, it can distinguish subregions and identify where malignant and stromal cells interact. This spatially resolved information supports analysis of signaling patterns, local tumor states, and relationships between tissue organization and disease behavior.
Cancer researchers use spatial mapping to identify tumor subregions, examine malignant-stromal interactions, and investigate how immune access and invasion vary across tissue. These observations can guide therapies that address both cancer cells and the surrounding context. The approach is especially valuable when a tumor’s organization helps explain progression or why treatment effects differ between locations.