Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

8.8K
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...
8.8K
Overview of Microscopy Techniques01:22

Overview of Microscopy Techniques

14.9K
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...
14.9K
Two-Dimensional Microscopy in Microbiology01:29

Two-Dimensional Microscopy in Microbiology

1.1K
Two-dimensional (2D) microscopy encompasses a range of optical techniques that capture images within a single focal plane, offering detailed representations of microscopic structures. These techniques are essential in biological and medical research, enabling the visualization of cellular and subcellular structures with different levels of contrast and specificity.There are several major types of 2D microscopy, each with strengths and applications.Bright-Field MicroscopyBright-field microscopy...
1.1K
Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

774
Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...
774
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.2K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
12.2K
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

20.0K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
20.0K

You might also read

Related Articles

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

Sort by
Same author

Size-based sorting of dynamic bacterial clusters.

Lab on a chip·2026
Same author

Cellular and biophysical barriers to lipid nanoparticle mediated delivery of RNA to the cytosol.

Nature communications·2025
Same author

Dissecting the properties of circulating IgG against streptococcal pathogens through a combined systems antigenomics-serology workflow.

Nature communications·2025
Same author

Protumoral lipid droplet-loaded macrophages are enriched in human glioblastoma and can be therapeutically targeted.

Science translational medicine·2024
Same author

Protective Non-neutralizing anti-N-terminal Domain mAb Maintains Fc-mediated Function against SARS-COV-2 Variants up to BA.2.86-JN.1 with Superfluous In Vivo Protection against JN.1 Due to Attenuated Virulence.

Journal of immunology (Baltimore, Md. : 1950)·2024
Same author

The hinge-engineered IgG1-IgG3 hybrid subclass IgGh<sub>47</sub> potently enhances Fc-mediated function of anti-streptococcal and SARS-CoV-2 antibodies.

Nature communications·2024
Same journal

In operando imaging of the space-charge region in a 4H-SiC MOSCAP using STEM-EBIC.

Journal of microscopy·2026
Same journal

The future of DXA: How AI is transforming bone health diagnostics.

Journal of microscopy·2026
Same journal

The Origins of Ploem's Filter Cube: A Pandora's Box.

Journal of microscopy·2026
Same journal

The reproducibility gap in graph neural network workflows for cell dynamics: A checklist-driven case study.

Journal of microscopy·2026
Same journal

Assessing the reproducibility of a bioimage analysis workflow characterising tissue flow in Drosophila.

Journal of microscopy·2026
Same journal

Modular training resources for bioimage analysis.

Journal of microscopy·2026
See all related articles

Related Experiment Video

Updated: Jan 18, 2026

Analysis of Multidimensional Microscopy Data Using Cell-ACDC
06:17

Analysis of Multidimensional Microscopy Data Using Cell-ACDC

Published on: November 7, 2025

463

From observation to understanding: A multi-agent framework for smart microscopy.

P S Kesavan1, Pontus Nordenfelt1,2,3

  • 1Department of Clinical Sciences Lund, Infection Medicine, Faculty of Medicine, Lund University, Lund, Sweden.

Journal of Microscopy
|January 15, 2026
PubMed
Summary
This summary is machine-generated.

Smart microscopy, powered by AI, acts as a partner in scientific discovery. This framework bridges the gap between observation and understanding, aiding hypothesis generation and knowledge creation.

Keywords:
AI‐driven image acquisitionadaptive automated microscopyhypothesis‐driven imagingmulti‐agent systemscientific reasoning via microscopysmart microscopy

More Related Videos

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images
14:28

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images

Published on: July 15, 2020

8.3K
Conducting Multiple Imaging Modes with One Fluorescence Microscope
08:32

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Published on: October 28, 2018

10.2K

Related Experiment Videos

Last Updated: Jan 18, 2026

Analysis of Multidimensional Microscopy Data Using Cell-ACDC
06:17

Analysis of Multidimensional Microscopy Data Using Cell-ACDC

Published on: November 7, 2025

463
Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images
14:28

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images

Published on: July 15, 2020

8.3K
Conducting Multiple Imaging Modes with One Fluorescence Microscope
08:32

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Published on: October 28, 2018

10.2K

Area of Science:

  • Biological imaging
  • Computational biology
  • Artificial intelligence in science

Background:

  • Traditional microscopy is a passive observation tool.
  • Advancements in automation, computation, and AI enable active roles for microscopy.
  • Smart microscopy systems can make decisions and control experiments in real-time.

Purpose of the Study:

  • Introduce a theoretical framework for smart microscopy as a scientific investigation partner.
  • Address the 'epistemic-empirical divide' in cellular research.
  • Guide the development of advanced microscopy systems.

Main Methods:

  • Propose six core design principles: epistemic-empirical awareness, hierarchical context integration, detection-to-perception evolution, adaptive measurement, narrative synthesis, and cross-contextual reasoning.
  • Outline a multi-agent architecture to align empirical data with scientific understanding.
  • Define a roadmap for next-generation microscopy systems.

Main Results:

  • The framework reconceptualizes smart microscopy from a tool to a collaborator.
  • The proposed principles and architecture facilitate hypothesis generation and insight discovery.
  • Smart microscopy redefines the role of instruments in scientific knowledge creation.

Conclusions:

  • Smart microscopy systems can actively support scientific inquiry beyond simple automation.
  • The framework provides a guide for developing intelligent microscopy that aids theory development.
  • This approach redefines scientific instruments as partners in the knowledge creation process.