Z-stack Reconstruction
Z-stack Reconstruction - Related Videos
09:38
Scaling of Engineered Vascular Grafts Using 3D Printed Guides and the Ring Stacking Method
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Cited by 6 •
2017
Scalable engineered blood vessels would improve clinical applicability. Using easily sizable 3D-printed guides, rings of vascular smooth muscle were created and stacked into a tubular form, forming a vascular graft. Grafts can be sized to meet the range of human coronary artery dimensions by simply changing the 3D-printed guide size.
08:00
Imaging and 3D Reconstruction of Cerebrovascular Structures in Embryonic Zebrafish
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Cited by 1 •
2014
Imaging of cerebrovascular development in larval zebrafish is described. Techniques to facilitate 3D imaging and modify cerebrovascular development using chemical treatments are also provided.
06:32
Coronoid-Temporalis Pedicled Flap for Orbital Floor Defect Reconstruction
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2025
This protocol presents a novel coronoid-temporalis pedicled flap (CTPF) technique for reconstructing small-to-medium orbital floor defects. CTPF avoids microvascular risks while maintaining biomechanical stability. Clinical cases demonstrate effective structural restoration, reduced complications, and preserved facial symmetry, offering a viable alternative to traditional grafts or alloplastic materials.
06:52
Reconstruct Human Retinoblastoma In Vitro
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Cited by 2 •
2022
We describe a method for generating human retinoblastoma (RB) by introducing biallelic RB1 mutations in human embryonic stem cells (hESC). RB cell lines could also be successfully cultured using the isolated RB in a dish.
12:38
Structure of HIV-1 Capsid Assemblies by Cryo-electron Microscopy and Iterative Helical Real-space Reconstruction
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Cited by 8 •
2011
This article describes a method to obtain a three-dimensional (3D) structure of helically assembled molecules using cryo-electron microscopy. In this protocol, we use HIV-1 capsid assemblies to illustrate the detailed 3D reconstruction procedure for achieving a density map by the iterative helical real-space reconstruction method.
FAQs
The microscope captures sequential focal planes through a defined depth rather than relying on one image. Reconstruction software then aligns these optical sections so structures can be viewed in relation to one another across the volume. This preserves depth-dependent information, helping distinguish cellular positions and tissue organization that may be ambiguous in a single focal plane.
Alignment allows corresponding structures in successive optical sections to remain spatially consistent during reconstruction. Without this step, features could appear displaced between planes, reducing the reliability of the combined representation. In fluorescence microscopy studies of tumors, accurate alignment supports clearer interpretation of cellular structures, invasion patterns, and relationships within the tumor microenvironment.
A single-plane image shows structures at one focal depth, whereas a reconstructed stack retains information from multiple depths within the selected volume. This broader view can reveal spatial relationships that are not visible in one section alone. For cancer research, the distinction matters when examining tumor architecture, vascular organization, or cells distributed through tissue.
The selected depth range and the sequence of focal planes determine which portion of the specimen contributes to the reconstruction. Capturing planes through the relevant depth provides the information needed to represent structures across that volume. Subsequent software alignment is also essential, because the final visualization depends on combining those sections consistently.
First, the microscope records sequential optical sections at focal planes spanning a defined specimen depth. The resulting image series is then transferred to reconstruction software, which aligns the sections and combines them into a three-dimensional representation. Researchers can use this output to inspect cellular structures and spatial relationships throughout the imaged volume.
The method is useful when cancer-related structures extend through tissue and their organization cannot be adequately assessed in one focal plane. Applications include analyzing tumor architecture, cell invasion, vascular organization, and interactions within the tumor microenvironment. It also supports quantitative studies of cancer progression, treatment response, and tissue organization by retaining depth information.
Reconstructed volumes allow investigators to evaluate how cells and structures are arranged across depth, rather than only within a flat image. In cancer studies, this supports examination of invasion patterns, vascular organization, and tumor microenvironment interactions. The preserved spatial information can also contribute to quantitative assessments of progression, treatment response, and tissue organization.