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

Imaging Biological Samples with Optical Microscopy

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

You might also read

Related Articles

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

Sort by

Same author

Molecular characterization of Sarcocystis spp. in intestines of coyotes and foxes from Pennsylvania, USA.

Parasites & vectors·2026

Same author

Burden of incomplete immunization and its determinants among children under five years in India: a systematic review and meta-analysis (2015-2025).

Vaccine·2026

Same author

MOLECULAR CHARACTERIZATION OF SARCOCYSTIS SPOROCYSTS IN INTESTINES OF BOBCAT (LYNX RUFUS) FROM MINNESOTA.

The Journal of parasitology·2026

Same author

CONFIRMATION OF SARCOCYSTIS INFECTIONS IN TONGUES OF FLORIDA PANTHERS (PUMA CONCOLOR CORYI).

The Journal of parasitology·2026

Same author

The Brain Imaging and Neurophysiology Dataset of large-scale multimodal neural data.

Scientific data·2026

Same author

Plan-do-check-act (PDCA) cycle analysis for antimicrobial stewardship of orthopedic patients in trauma center-implementation research.

Antimicrobial stewardship & healthcare epidemiology : ASHE·2026

Same journal

NanoporeDB: A Structural Resource Of Multimeric Protein Nanopores For Single-Molecule Sensing.

GigaScience·2026

Same journal

From the Brain Cell Atlas to Precision Neurology: A review of the application of AI-driven multi-omics in brain science.

GigaScience·2026

Same journal

Comparison of Deep Learning Approaches for Extreme Low-SNR Image Restoration.

GigaScience·2026

Same journal

ScopeViewer: A Browser-Based Solution for Visualizing Large Biological Images.

GigaScience·2026

Same journal

ChatMDV: Reducing Technical Barriers in Bioinformatics Analysis using Large Language Models.

GigaScience·2026

Same journal

ClusterGraph: a new tool for visualisation and compression of multidimensional data.

GigaScience·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 2, 2025

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

Image processing for optical mapping.

Prabu Ravindran¹, Aditya Gupta¹

¹Laboratory of Molecular and Computational Genomics, Department of Chemistry, Laboratory of Genetics and Biotechnology Center, University of Wisconsin, 425 Henry Mall, Madison, USA.

|December 1, 2015

Summary

This summary is machine-generated.

Optical Mapping provides whole-genome analysis using single DNA molecules. This review details image processing techniques for accurate restriction map extraction from complex genomic data.

Keywords:

Grouping Image processing Integrated fluorescence intensity Optical mapping Shortest path Skeletonization Tiling

More Related Videos

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Published on: August 4, 2018

High-resolution Optical Mapping of the Mouse Sino-atrial Node

High-resolution Optical Mapping of the Mouse Sino-atrial Node

Published on: December 2, 2016

Related Experiment Videos

Last Updated: Oct 2, 2025

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Published on: August 4, 2018

High-resolution Optical Mapping of the Mouse Sino-atrial Node

High-resolution Optical Mapping of the Mouse Sino-atrial Node

Published on: December 2, 2016

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Optical Mapping is a key single-molecule, whole-genome analysis technique.
It is crucial for understanding genomic structure and structural variations.
Accurate restriction maps are essential for comprehensive genomic analysis.

Purpose of the Study:

To review robust and efficient image processing techniques for Optical Mapping.
To address challenges in extracting restriction maps from large datasets with noise and artifacts.
To highlight the applications of Optical Mapping.

Main Methods:

Description of image processing algorithms for Optical Mapping data.
Techniques for handling noise, ambiguity, and artifacts in image datasets.
Methods for extracting single-molecule restriction maps from large DNA molecules.

Main Results:

Demonstration of efficient and accurate restriction map extraction.
Successful processing of massive datasets containing complex genomic information.
Identification of robust methods for dealing with image imperfections.

Conclusions:

Image processing is critical for the success of Optical Mapping.
Advanced techniques enable accurate genomic structure analysis.
Optical Mapping offers valuable insights into complex genomes and structural variations.