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

TIPP-SD: A new method for species detection in microbiomes.

PLoS computational biology·2026

Same author

Double humanised lupus mouse model with human immune system and faecal microbiota from patients with SLE.

Lupus science & medicine·2026

Same author

Do early intervention services for psychosis maintain their effects after transition to usual/modular care? A systematic review and meta-analysis.

World psychiatry : official journal of the World Psychiatric Association (WPA)·2026

Same author

Sequencing the ocular surface microbiome: a review of methodological practices and considerations.

Frontiers in ophthalmology·2025

Same author

Discovery of Novel Probiotic Species to Improve Infant Health.

bioRxiv : the preprint server for biology·2025

Same author

The Gut Microbiota of Peruvian Children Under the Age of Two During the Complementary Feeding Period.

International journal of environmental research and public health·2025

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: Apr 17, 2026

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

Computational methods for optical mapping.

Lee Mendelowitz¹, Mihai Pop²

¹Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD USA ; Applied Math & Statistics, and Scientific Computation, University of Maryland, College Park, MD USA.

|February 12, 2015

Summary

This summary is machine-generated.

Optical mapping provides long-range genomic information for assessing genome assembly quality and detecting structural variations missed by sequencing. This review covers methods for building and aligning optical maps with sequence data.

Keywords:

Genome assembly Genome mapping Optical mapping Structural variation

More Related Videos

A Scanning Electron Microscopy-Compatible Optical Imaging Method for Mesoscopic All-Cell Brain Mapping

A Scanning Electron Microscopy-Compatible Optical Imaging Method for Mesoscopic All-Cell Brain Mapping

Published on: February 20, 2026

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

Related Experiment Videos

Last Updated: Apr 17, 2026

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

A Scanning Electron Microscopy-Compatible Optical Imaging Method for Mesoscopic All-Cell Brain Mapping

A Scanning Electron Microscopy-Compatible Optical Imaging Method for Mesoscopic All-Cell Brain Mapping

Published on: February 20, 2026

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

Area of Science:

Genomics
Bioinformatics

Background:

Optical mapping and nicking enzyme-based genome mapping offer long-range genomic insights.
These techniques complement short-read sequencing by providing a broader genomic view.

Purpose of the Study:

To review algorithms and methods for optical map construction.
To discuss aligning restriction patterns to reference maps.
To explore integrating optical maps with sequence assemblies.

Main Methods:

Review of existing algorithms for consensus optical map generation.
Methods for aligning nicking enzyme restriction patterns to reference maps.
Strategies for combining optical map data with sequence assembly data.

Main Results:

Optical mapping is effective for genome assembly quality assessment.
It enables detection of large-scale structural variants and rearrangements.
Methods for integrating optical maps with sequence data are discussed.

Conclusions:

Optical mapping is a valuable tool for genome assembly validation.
It addresses limitations of paired-end sequencing for structural variant detection.
Integration of optical maps enhances genomic analysis and assembly quality.