Stereo Imaging
Stereo Imaging - Related Videos
10:22
Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
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2025
This article presents a protocol to perform comprehensive spatial transcriptomic profiling of host, viral, fungal, and microbiome RNA from formalin-fixed paraffin-embedded tissue sections using Stereo-seq, which enables high-resolution mapping of diverse transcriptomes while preserving tissue architecture.
14:14
Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics
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Cited by 9 •
2017
This protocol uses multi-view stereo to generate three-dimensional (3D) models out of uncalibrated sequences of photographs, making it affordable and adjustable to a surgical setting. Strain maps between the 3D models are quantified with spline-based isogeometric kinematics, which facilitate representation of smooth surfaces over coarse meshes sharing the same parameterization.
09:32
Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
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Cited by 9 •
2017
We describe a new method for counting fishes, and estimating relative abundance (MaxN) and fish density using rotating stereo-video camera systems. We also demonstrate how to use distance from camera (Z distance) to estimate species-specific detectability.
05:54
Stereo-Electro-Encephalo-Graphy (SEEG) With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note
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Cited by 20 •
2016
Stereo-electroencephalography (SEEG) aids in localization of epileptogenic zones, however, remains relatively underutilized in the United States. The goal of this abstract is to provide a brief introduction to the technique of SEEG and further a detailed technique of using robotic assistance in the placement of SEEG electrodes.
05:12
Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
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2021
The human depth perception of 3D stereo videos depends on the camera separation, point of convergence, distance to, and familiarity of the object. This paper presents a robotized method for rapid and reliable test data collection during live open-heart surgery to determine the ideal camera configuration.
FAQs
Camera calibration and camera geometry determine how image observations relate to positions in space. After corresponding features are identified, the system uses their disparity together with the calibrated imaging arrangement to triangulate each point. Accurate geometric relationships are therefore essential for converting differences between views into measurable three-dimensional structure and spatial relationships in biological or engineered specimens.
Feature correspondence links the same biological or material feature across images captured from different viewpoints. The system compares these matched observations to determine disparity, which provides the positional information needed for triangulation. Reliable matching is especially important when analyzing cell morphology, tissue structure, movement, or complex biomaterials because unmatched features would not represent the same point in space.
Disparity expresses how the apparent position of a corresponding feature changes between viewpoints. Stereo Imaging uses that difference, together with camera geometry and calibration, to determine where the feature lies in three-dimensional space. This makes depth and spatial relationships measurable rather than leaving analysis dependent on the feature’s appearance in a single two-dimensional image.
A single two-dimensional view represents biological or engineered structures without directly resolving their full spatial arrangement. By combining multiple viewpoints, Stereo Imaging supports measurement of depth, three-dimensional shape, and relationships among points in space. This broader spatial characterization is useful when morphology, movement, or the organization of cells, tissues, and biomaterials cannot be adequately described from one view.
A typical workflow captures two or more images from different viewpoints, identifies corresponding features, and determines their disparity. Camera geometry and calibration are then applied to triangulate feature positions in space. The resulting three-dimensional measurements can be used to characterize structure, morphology, movement, or spatial relationships in a biological specimen or engineered material.
The method supports quantitative analysis of biological structures, cell and tissue morphology, movement, and engineered biomaterials. Its measurements describe three-dimensional form and spatial relationships rather than only projected appearance. In bioengineering, this enables researchers to examine complex biological models and evaluate how their structure or movement is represented across multiple viewpoints.
In biomechanics and medical imaging, Stereo Imaging can provide spatial characterization of structures and movement by reconstructing measurable three-dimensional relationships from multiple views. This perspective helps analysis extend beyond a flat image, supporting investigation of morphology and motion in complex biological models. The approach is also relevant when spatial information is needed to assess engineered or biological structures.
Tissue engineering and biomaterial studies often involve structures whose form and organization are not fully captured by a single two-dimensional view. Stereo Imaging supplies measurable depth and spatial relationships for evaluating tissue morphology, complex biological models, and engineered biomaterials. These measurements can support more complete structural characterization when three-dimensional organization is central to the research question.