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

Overview of Microscopy Techniques

Overview of Microscopy Techniques

The early pioneers of microscopy opened a window into the invisible world of microorganisms. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes that leveraged nonvisible light, such as fluorescence microscopy that uses an ultraviolet light source and electron microscopy that uses short-wavelength electron beams. These advances significantly improved magnification, image resolution, and contrast. By comparison, the...

You might also read

Related Articles

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

Sort by

Same author

Characterization of proteoforms within α-synuclein complexes in living cells by cleavable cross-linking combined with top-down mass spectrometry.

Talanta·2026

Same author

Orthogonal Ionic Liquid-Based Extraction Strategy Enables Amyloid-Specific Profiling of Aggregate Proteome.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same author

From pharmacokinetics to precision dosing: optimizing continuous infusion regimens of ciprofol for elderly patients.

Frontiers in pharmacology·2026

Same author

Twelve-inch electrically anisotropic boridene for optoelectronic computing.

Nature nanotechnology·2026

Same author

Decoding the Cellular Heterogeneity and Malignant Progression of Human Penile Squamous Cell Carcinoma by Single-Cell RNA Sequencing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same author

Structure-Interface Synergistic Cu-Zn Hybrid Films for High-Efficiency Thermal Management and Photothermal Conversion.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026

Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026

Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026

Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026

Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026

Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 4, 2026

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System

Published on: May 3, 2018

Adaptive predictive scanning method based on a high-precision automatic microscopy system.

Junjie Hu, Bowen Zhong, Ziqi Jin

|November 2, 2019

Summary

This summary is machine-generated.

Adaptive predictive scanning methods improve microscopy speed by accurately predicting focal planes. This new adaptive predictive scanning method (APSM) reduces image defocus, enhancing precision in automatic microscopy systems.

More Related Videos

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

Published on: April 28, 2022

Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization

Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization

Published on: July 15, 2020

Related Experiment Videos

Last Updated: Jan 4, 2026

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System

Published on: May 3, 2018

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

Published on: April 28, 2022

Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization

Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization

Published on: July 15, 2020

Area of Science:

Microscopy
Optical Engineering
Image Processing

Background:

Automatic microscopy systems aim to increase scanning speed through focal plane prediction.
Traditional predictive scanning methods suffer from image defocus due to fixed planar models.
Accurate focal plane prediction is crucial for high-resolution imaging in microscopy.

Purpose of the Study:

To introduce an adaptive predictive scanning method (APSM) for enhanced focal plane prediction accuracy.
To overcome the limitations of traditional methods in maintaining image focus during high-speed scanning.
To improve the overall precision of automatic microscopy systems.

Main Methods:

Developed an adaptive predictive scanning method (APSM) that updates focal plane predictions in real time.
Utilized the focal position of a reference point during scanning to refine predictions.
Implemented a dynamic focal plane adjustment strategy instead of a fixed planar model.

Main Results:

APSM achieved an average image defocus value of 0.39 μm.
Conventional predictive scanning methods resulted in an average defocus of 1.05 μm.
Demonstrated significantly improved focal accuracy compared to traditional methods.

Conclusions:

APSM offers a substantial improvement in focal accuracy for automatic microscopy.
The adaptive real-time updating mechanism enhances predictive scanning performance.
APSM is suitable for high-precision automatic microscopy applications requiring fast and accurate imaging.