Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Electron Microscope Tomography and Single-particle Reconstruction

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Bromine-Promoted Tandem Catalysis for C<sub>2+</sub> Production from CO<sub>2</sub> Electroreduction.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same author

A dual-type I/II photosensitizer targeting the plasma membrane for photodynamic therapy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026

Same author

High-Frame-Rate Echocardiography: A New Frontier in Noninvasive Functional Assessment.

Journal of clinical medicine·2026

Same author

CX3CL1-CX3CR1 signaling orchestrates malignant progression of prostate cancer through luminal progenitor-macrophage crosstalk.

Cellular oncology (Dordrecht, Netherlands)·2026

Same author

Advancing Collision-Induced Affinity Selection Mass Spectrometry for Quantitative Ligand Analysis in Complex Mixtures.

Analytical chemistry·2026

Same author

Polymerization Time-Optimized Covalent Organic Framework for Ultrasensitive Ethylene Glycol Sensing.

ACS sensors·2026

Same journal

Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.

IEEE transactions on pattern analysis and machine intelligence·2026

Same journal

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.

IEEE transactions on pattern analysis and machine intelligence·2026

Same journal

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026

Same journal

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026

Same journal

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.

IEEE transactions on pattern analysis and machine intelligence·2026

Same journal

Learning Shape Anchors for Holistic Indoor Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 4, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Mirror Surface Reconstruction from a Single Image.

Miaomiao Liu, Richard Hartley, Mathieu Salzmann

IEEE Transactions on Pattern Analysis and Machine Intelligence

|September 10, 2015

Summary

This summary is machine-generated.

This study reconstructs smooth mirror shapes from single images using reflections of known targets. The method works with dense or sparse correspondences and can also reconstruct transparent object surfaces.

More Related Videos

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Published on: July 26, 2014

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Related Experiment Videos

Last Updated: Apr 4, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Published on: July 26, 2014

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Area of Science:

Computer Vision
Computational Geometry
Optics

Background:

Reconstructing 3D shapes from 2D images is a fundamental problem in computer vision.
Mirror surface reconstruction is challenging due to complex light reflections.

Purpose of the Study:

To develop a method for reconstructing smooth mirror surface shapes from a single image.
To analyze the applicability of the method to transparent object surface reconstruction.

Main Methods:

Differential geometry analysis for dense correspondences.
Nonlinear least-squares optimization for sparse correspondences.
Utilizing reflections of a static reference target.

Main Results:

Theoretical proof of mirror shape recovery with known reference target pose and dense correspondences.
Demonstrated effectiveness on synthetic and real images with sparse correspondences.
Analysis of degenerate cases for reconstruction.

Conclusions:

The proposed method enables accurate mirror surface reconstruction from single images.
The approach is robust to sparse correspondences and can be extended to transparent objects.