Z-stack Imaging

Z-stack imaging is a microscopy method that captures a series of two-dimensional images at successive focal planes to reveal the three-dimensional organization of a specimen. During acquisition, the microscope moves through a defined depth at set intervals, recording optical sections that can be aligned and computationally reconstructed into a volumetric image. In immunology and infection research, this approach helps visualize immune-cell interactions, pathogen localization, tissue architecture, and intracellular structures within thick or fluorescently labeled samples. By preserving spatial information that a single focal plane cannot provide, Z-stack imaging supports more accurate analysis of cell morphology, infection sites, and host-pathogen relationships.

Z-stack Imaging - Related Videos

Research

JoVE Journal - Bioengineering

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.

Production of Adeno-Associated Virus Vectors in Cell Stacks for Preclinical Studies in Large Animal Models

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Cited by 17 •

2021

Here we provide a detailed procedure for large-scale production of research-grade AAV vectors using adherent HEK 293 cells grown in cell stacks and affinity chromatography purification. This protocol consistently yields >1 x 1013 vector genomes/mL, providing vector quantities appropriate for large animal studies.

Research

JoVE Journal - Biology
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Enhancing Density Maps by Removing the Majority of Particles in Single Particle Cryogenic Electron Microscopy Final Stacks

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Cited by 1 •

2024

An advanced particle selection method for cryo-EM, namely CryoSieve, improves density map resolution by removing a majority of particles in final stacks, as demonstrated through its application on a real-world dataset.

EasyFiji: A Graphical Interface for User-Friendly Fluorescence Image Processing in Fiji

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2026

EasyFiji is a graphical user interface plugin for Fiji (ImageJ) that provides a curated suite of fluorescence image visualization and processing tools frequently utilized by life scientists.

Hybrid µCT-FMT imaging and image analysis

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Cited by 34 •

2015

We describe a protocol for hybrid imaging, combining fluorescence-mediated tomography (FMT) with micro computed tomography (µCT). After fusion and reconstruction, we perform interactive organ segmentation to extract quantitative measurements of the fluorescence distribution.

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