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

You might also read

Related Articles

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

Sort by

Same author

[Prophylactic intubation of the lacrimal duct in chemoradiotherapy of the lacrimal sac].

Die Ophthalmologie·2021

Same author

New methodology to process shifted excitation Raman difference spectroscopy data: a case study of pollen classification.

Scientific reports·2020

Same author

Corrigendum to "Biochemical alterations in the Musculus triceps brachii and Musculus longissimus thoracis during early postmortem period in pigs" [Meat Science 152 (2019) 121-126].

Meat science·2019

Same author

Biochemical alterations in the Musculus triceps brachii and Musculus longissimus thoracis during early postmortem period in pigs.

Meat science·2019

Same author

Autofluorescence lifetime augmented reality as a means for real-time robotic surgery guidance in human patients.

Scientific reports·2019

Same author

Signal, noise and resolution in linear and nonlinear structured-illumination microscopy.

Journal of microscopy·2018

Search research articles

Related Experiment Video

Updated: Apr 16, 2026

A Guide to Build a Highly Inclined Swept Tile Microscope for Extended Field-of-view Single-molecule Imaging

A Guide to Build a Highly Inclined Swept Tile Microscope for Extended Field-of-view Single-molecule Imaging

Published on: April 8, 2019

Seamless stitching of tile scan microscope images.

F B Legesse^1,2, O Chernavskaia^1,2, S Heuke²

¹Leibniz Institute of Photonic Technology (IPHT) Jena e.V, Jena, Germany.

Journal of Microscopy

|March 20, 2015

Summary

This study introduces a new method for seamlessly stitching together images from laser scanning microscopy. The technique corrects brightness and edge differences, removing visible artefacts for better image analysis.

Keywords:

Image blending image compositing image stitching

More Related Videos

Author Spotlight: Unraveling Bacterial Responses to Antibiotics and Immune System in Tissues

Author Spotlight: Unraveling Bacterial Responses to Antibiotics and Immune System in Tissues

Published on: March 1, 2024

Optimized Workflow for Iterative Bleaching Extends Multiplexity Imaging of Highly Autofluorescent Clinical Samples

Optimized Workflow for Iterative Bleaching Extends Multiplexity Imaging of Highly Autofluorescent Clinical Samples

Published on: July 11, 2025

Related Experiment Videos

Last Updated: Apr 16, 2026

A Guide to Build a Highly Inclined Swept Tile Microscope for Extended Field-of-view Single-molecule Imaging

A Guide to Build a Highly Inclined Swept Tile Microscope for Extended Field-of-view Single-molecule Imaging

Published on: April 8, 2019

Author Spotlight: Unraveling Bacterial Responses to Antibiotics and Immune System in Tissues

Author Spotlight: Unraveling Bacterial Responses to Antibiotics and Immune System in Tissues

Published on: March 1, 2024

Optimized Workflow for Iterative Bleaching Extends Multiplexity Imaging of Highly Autofluorescent Clinical Samples

Optimized Workflow for Iterative Bleaching Extends Multiplexity Imaging of Highly Autofluorescent Clinical Samples

Published on: July 11, 2025

Area of Science:

Microscopy and Imaging
Image Processing
Computational Biology

Background:

Optical imaging requires high-resolution, large-field-of-view images for biological diagnostics.
Laser scanning microscopy often produces tile scans that need stitching into mosaics.
Existing stitching methods fail with nonlinear, multimodal images, showing visible edge artefacts.

Purpose of the Study:

To develop a novel method for seamlessly stitching image tiles from laser scanning microscopy.
To eliminate visible edge artefacts and grey level jumps between tiles.
To enable further image analysis on large-format microscopic images.

Main Methods:

A novel stitching algorithm is presented to create seamless image mosaics.
The algorithm corrects non-uniform brightness within individual tiles.
It equilibrates neighbouring edges and common corner brightness to compensate for grey level differences.

Main Results:

The developed technique successfully eliminates visible stitching artefacts.
The corrected image mosaics are free from grey level jumps across tile boundaries.
The method produces seamless mosaics suitable for subsequent image analysis.

Conclusions:

The novel stitching method effectively addresses limitations of current techniques for laser scanning microscopy.
The approach ensures seamless mosaic generation, crucial for accurate biological sample analysis.
The technique is adaptable to other mosaic-assembly applications like astronomical or satellite imaging.