Extended Depth Software
Extended Depth Software - Related Videos
01:27
Uniform Depth Channel Flow
0 Views •
2025
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
01:15
Depth Perception and Spatial Vision
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2024
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
05:25
Extended 78% Hepatectomy in a Mouse Surgical Model
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2024
The mouse model of partial 2/3 (66%) hepatectomy is well described in the literature, but more extended hepatectomies mimicking small-for-size syndrome after liver transplantation have seldom been used. We describe an extended 78% hepatectomy procedure in a mouse model that results in approximately 50% postoperative lethality in healthy mice.
07:16
Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach
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Cited by 1 •
2025
This article describes a protocol for multiplex immunofluorescence optimized to characterize the three-dimensional architecture of peritoneal metastases.
01:18
Uniform Depth Channel Flow: Problem Solving
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2025
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
FAQs
Extended Depth Software evaluates image information at multiple focal planes, selecting regions that appear sharpest before combining them into one composite. This allows details from different depths to appear together rather than requiring the viewer to interpret separate focal levels. In biological microscopy, that selection supports clearer visualization of structures distributed through thick or uneven samples.
Sharp-region selection determines which portions of each focal-plane image contribute to the final result. Areas that are less sharply represented are not favored when the software constructs the composite, helping preserve visible detail across the sample’s depth. The process is especially relevant when organisms, tissues, or microscopic structures do not lie within a single optical focal level.
A conventional image records the appearance of a specimen at one focal level, so structures outside that level may not appear equally clear. An extended-depth composite brings selected sharp regions from several focal positions into one image. This provides a broader view of spatial features and can make morphology easier to document and communicate in biological imaging.
The workflow begins by capturing images of the same sample at different focal planes. Extended Depth Software then identifies the sharpest regions within those images and merges the selected information into a single extended-depth composite. The resulting image can be reviewed as a unified representation of the specimen rather than as a series of separate focal views.
The approach is useful when a biological specimen has structures extending beyond the microscope’s depth of field. Examples supported by the topic include organisms, tissues, and microscopic structures with thick or uneven organization. Combining focal levels can help researchers visualize these samples more comprehensively for microscopy documentation, morphological analysis, teaching, and research.
Extended-depth composites can improve the documentation of specimen appearance and support morphological analysis by displaying spatial features from multiple focal levels together. They also provide a clearer image for communicating biological structure in teaching and research settings. Because the composite represents thick or uneven samples across depth, it can complement standard microscopy workflow documentation.