Luminal Area Quantification
Luminal Area Quantification - Related Videos
08:24
Profiling Luminal pH in Three-Dimensional Gastrointestinal Organoids Using Microelectrodes
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Cited by 2 •
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The present protocol describes pH measurements in human tissue-derived gastric organoids using microelectrodes for spatiotemporal characterization of intraluminal physiology.
10:21
Studying Murine Small Bowel Mechanosensing of Luminal Particulates
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Cited by 3 •
2022
To study how the small bowel handles particulates of varying sizes, we have modified an established in vivo method to determine small bowel transit.
09:59
Transfer of Mammary Gland-forming Ability Between Mammary Basal Epithelial Cells and Mammary Luminal Cells via Extracellular Vesicles/Exosomes
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Cited by 8 •
2017
This protocol describes methods for purifying, quantitating, and characterizing extracellular vesicles (EVs)/exosomes from non-adherent/mesenchymal mammary epithelial cells and for using them to transfer mammary gland-forming ability to luminal mammary epithelial cells. EVs/exosomes derived from stem-like mammary epithelial cells can transfer this cell property to cells that ingest the EVs/exosomes.
09:17
In Vivo Luminal Measurement of Distension-Evoked Urothelial ATP Release in Rodents
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Cited by 1 •
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This protocol describes the procedure for measuring ATP concentrations in the lumen of the bladder in an anesthetized rodent.
08:44
Invertebrate Lifespan Quantification
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2023
Many animals naturally stop growing upon reaching adulthood, after which they undergo aging or "senescence" until dying. The amount of time between an organism\'s birth and death is called its lifespan, which can be influenced by various biological and environmental factors. By exposing organisms to different growth conditions, scientists can better understand the factors affecting lifespan. Flies and worms are ideal organisms to perform such experiments, given their short generation time and...
FAQs
Segmentation determines which pixels or image regions belong to the lumen rather than to surrounding tissue. Because the final area calculation uses that selected region, an incorrectly placed boundary can alter the measured size and potentially obscure narrowing, dilation, or obstruction. Consistent segmentation is therefore essential for producing numerical results that can be compared across images or examinations.
Calibration links image dimensions to physical dimensions, allowing the selected lumen to be expressed as an anatomical area rather than only as an image-based size. This conversion makes measurements more meaningful for evaluating structural change and supports comparison between observations. Without appropriate spatial calibration, numerical values may not accurately represent the lumen’s actual dimensions.
Visual interpretation can identify apparent structural abnormalities, but a measured area supplies an objective numerical complement. That value helps characterize the extent of narrowing, dilation, obstruction, or other change in a standardized way. Combining descriptive assessment with reproducible measurements can strengthen diagnosis, monitoring, treatment assessment, and research analyses.
The measured cross-sectional area provides a direct numerical representation of how much open space is present at the imaged location. A reduced value can support characterization of narrowing or obstruction, while an increased value can support assessment of dilation. Repeated or comparative measurements can help describe structural change, provided the images and measurement approach are interpreted consistently.
A basic workflow begins by identifying the lumen in the medical image, then separating it from adjacent tissue through segmentation. The image must be spatially calibrated before calculating the cross-sectional area of the selected region. The resulting value can then be recorded alongside the anatomical site and clinical or research context to support reproducible interpretation.
The approach applies to hollow structures whose open space can be visualized in medical images. The overview specifically identifies vessels, airways, and other tubular organs as relevant examples. This breadth allows the same measurement concept to describe patency and structural change across different anatomical systems while preserving a common numerical basis for analysis.
It is useful when clinicians or investigators need more than a qualitative description of an imaged structure. Numerical measurements can support diagnosis, track disease-related structural change, assess treatment effects, and standardize observations in research. Its value is greatest when segmentation and spatial calibration are applied consistently, allowing results to complement rather than replace image interpretation.