ジャーナル
/
生物工学
/
Quantifying Intermembrane Distances with Serial Image Dilations
JoVE Journal
生物工学
This content is Free Access.
JoVE Journal 生物工学
Quantifying Intermembrane Distances with Serial Image Dilations

Quantifying Intermembrane Distances with Serial Image Dilations

DOI:
10.3791/58311-v

•

07:45 min

•

September 28, 2018

•

, ,
1Virginia Tech Carilion Research Institute,Virginia Tech, 2Translational Biology, Medicine and Health,Virginia Tech

章

  • 00:04標題
  • 00:42Pre-Processing Images and Outlining the Perinexus
  • 02:17Algorithm Setup and Selection of Perinexus of Interest
  • 04:40Results: Perinexus Quantification
  • 06:30Conclusion

概要

自動翻訳

自動翻訳

The purpose of this algorithm is to continuously measure the distance between two 2-dimensional edges using serial image dilations and pathfinding. This algorithm can be applied to a variety of fields such as cardiac structural biology, vascular biology, and civil engineering.

タグ

1. Intermembrane Distances2. Serial Image Dilations3. Cardiac Electrophysiology4. Perinexus Identification5. MATLAB6. Grayscale Images7. Gap Junction Plaque8. Cell Membrane Bilayers9. Membrane Separation Distance Analysis10. Spatial Derivative Gradient Threshold11. Pixels Per Unit Length12. Region Of Interest

Article

Embed

プレイリスト追加

Usage Statistics

関連ビデオ

Preparation of Complaint Matrices for Quantifying Cellular Contraction

Quantifying the Mechanical Properties of the Endothelial Glycocalyx with Atomic Force Microscopy

Observing and Quantifying Fibroblast-mediated Fibrin Gel Compaction

Manufacture of Concentrated, Lipid-based Oxygen Microbubble Emulsions by High Shear Homogenization and Serial Concentration

Hybrid µCT-FMT imaging and image analysis

Custom-designed Laser-based Heating Apparatus for Triggered Release of Cisplatin from Thermosensitive Liposomes with Magnetic Resonance Image Guidance

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)

A Rapid Image-based Bacterial Virulence Assay Using Amoeba

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Read Article