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

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.4K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.4K
Total Internal Reflection Fluorescence Microscopy01:05

Total Internal Reflection Fluorescence Microscopy

8.8K
Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.
8.8K

You might also read

Related Articles

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

Sort by
Same author

Evaluating the Effect of Sorafenib on Gd-EOB-DTPA-mediated Contrast Enhancement: An Experimental Study using DCE-MRI.

Molecular imaging and biology·2026
Same author

3-Dimensional reconstruction reveals frequent intraluminal growth of submucosal veins in surgically resected pT1 colorectal cancers.

Journal of pathology and translational medicine·2026
Same author

Tumor Exosomal L1 Cell Adhesion Molecule Promotes Brain Metastasis of Lung Cancer.

Research (Washington, D.C.)·2026
Same author

Yeast-derived β-glucan enhances angiogenesis by activating the AMPK-HDAC7-MEF2 axis.

International journal of biological macromolecules·2026
Same author

Molecular Profiling of Inflammatory and Myofibroblast Cancer-Associated Fibroblast Subtypes Derived from Human Pancreatic Stellate Cells Using Machine Learning-Based Label-Free Raman Spectroscopy.

Biomaterials research·2025
Same author

Gelatin-Based Soft-Tissue Sarcoma Organoids Recapitulate Patient Tumor Characteristics.

Biomaterials research·2025
Same journal

Development of ultrafast single fluorescent-molecule imaging and its application to unravel plasma membrane structure and function in live cells.

Biophysics and physicobiology·2026
Same journal

Live imaging of bacterial actin MreBs from <i>Spiroplasma</i> causing helicity switching of a minimal synthetic cell.

Biophysics and physicobiology·2026
Same journal

Cooperative and divergent properties of bacterial actin isoforms in <i>Spiroplasma</i> swimming.

Biophysics and physicobiology·2026
Same journal

Oligo DNA-based quantum dot (QD) single-particle tracking for multicolor single-molecule imaging.

Biophysics and physicobiology·2026
Same journal

Substrate elasticity controls fibroblast motility on non-oxidized PDMS under weak adhesion.

Biophysics and physicobiology·2026
Same journal

A lattice Monte Carlo model for amyloid fibril formation.

Biophysics and physicobiology·2026
See all related articles

Related Experiment Video

Updated: Oct 14, 2025

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
08:58

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Published on: November 19, 2018

12.7K

Application of quantitative cell imaging using label-free optical diffraction tomography.

Chan-Gi Pack1,2

  • 1Convergence Medicine Research Center (CREDIT), Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Republic of Korea.

Biophysics and Physicobiology
|November 8, 2021
PubMed
Summary
This summary is machine-generated.

This study explores cellular compartments using advanced imaging, combining label-free optical diffraction tomography (ODT) with fluorescence microscopy to analyze physical properties of the nucleolus and mitotic chromosomes.

Keywords:
diffusion coefficientintracellular microenvironmentlabel-free 3D imagingmolecular crowding

More Related Videos

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

10.5K
Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography
10:40

Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography

Published on: August 12, 2025

644

Related Experiment Videos

Last Updated: Oct 14, 2025

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
08:58

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Published on: November 19, 2018

12.7K
Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

10.5K
Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography
10:40

Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography

Published on: August 12, 2025

644

Area of Science:

  • Cell Biology
  • Biophysics
  • Microscopy Techniques

Background:

  • Cells are dynamically organized into compartments like the endoplasmic reticulum, mitochondria, vesicles, and nucleus.
  • Understanding the physical properties of cellular compartments, such as the nucleolus and mitotic chromosomes, is crucial but challenging.
  • Current imaging methods like fluorescence microscopy have limitations, including cytotoxicity and inability to image all molecules.

Purpose of the Study:

  • To review a recent study that combines optical diffraction tomography (ODT) with fluorescence techniques.
  • To provide comprehensive insights into the physical properties of the nucleolus and mitotic chromosome.
  • To discuss future applications of ODT for analyzing cellular compartments.

Main Methods:

  • Utilized label-free three-dimensional optical diffraction tomography (ODT) to analyze organelle volume and refractive index.
  • Integrated ODT with fluorescence techniques, including fluorescence correlation spectroscopy and confocal laser scanning microscopy.
  • Developed an analytical method to overcome limitations of individual imaging techniques.

Main Results:

  • Successfully analyzed the physical properties of the nucleolus and mitotic chromosome.
  • Demonstrated the advantages of combining ODT with fluorescence microscopy for cellular compartment analysis.
  • Overcame limitations associated with solely using fluorescence imaging or ODT.

Conclusions:

  • The combined ODT and fluorescence approach offers a powerful tool for studying cellular compartment biophysics.
  • This methodology provides a more comprehensive understanding of the physicochemical properties of organelles.
  • Future research can leverage ODT for advanced label-free imaging and analysis of cellular structures.