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

Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

11.5K
Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
11.5K

You might also read

Related Articles

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

Sort by
Same author

Bidirectional quantitative scattering microscopy.

Nature communications·2025
Same author

Ludwig-Soret microscopy with the vibrational photothermal effect.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Phase retrieval via Zernike phase contrast microscopy with an untrained neural network.

Optics express·2025
Same author

Single-image phase retrieval for off-the-shelf Zernike phase-contrast microscopes.

Optics express·2024
Same author

High-Throughput 3D Imaging Flow Cytometry of Suspended Adherent 3D Cell Cultures.

Small methods·2023
Same author

Activation of ILC2s through constitutive IFNγ signaling reduction leads to spontaneous pulmonary fibrosis.

Nature communications·2023
Same journal

Investigating degradation mechanisms in organic light-emitting diodes using operando electrically pumped spectroscopy.

Light, science & applications·2026
Same journal

Two-photon 3D imaging of optically stimulated neural activity at 100 Hz.

Light, science & applications·2026
Same journal

Quasi-bound states in the continuum driven photoresponse in multiple quantum wells for machine vision.

Light, science & applications·2026
Same journal

Spin-photon qubits for scalable quantum network.

Light, science & applications·2026
Same journal

Dual-mode switchable and reconfigurable Van der Waals phototransistor for multi-state image encryption.

Light, science & applications·2026
Same journal

Weak polarization electric field Ⅲ-N LEDs on polar plane with enhanced efficiency and strong lateral carrier confinement.

Light, science & applications·2026
See all related articles

Related Experiment Video

Updated: Nov 23, 2025

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
06:37

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

3.9K

Adaptive dynamic range shift (ADRIFT) quantitative phase imaging.

Keiichiro Toda1, Miu Tamamitsu1, Takuro Ideguchi2,3,4

  • 1Department of Physics, The University of Tokyo, Tokyo, 113-0033, Japan.

Light, Science & Applications
|January 2, 2021
PubMed
Summary
This summary is machine-generated.

We developed supersensitive quantitative phase imaging (QPI) by expanding its dynamic range. This novel technique improves sensitivity for label-free single-cell analysis and nanoscale imaging.

More Related Videos

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope
14:09

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Published on: April 7, 2014

15.9K
X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

14.7K

Related Experiment Videos

Last Updated: Nov 23, 2025

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
06:37

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

3.9K
Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope
14:09

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Published on: April 7, 2014

15.9K
X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

14.7K

Area of Science:

  • Biophysics
  • Optical Imaging
  • Nanotechnology

Background:

  • Quantitative phase imaging (QPI) offers label-free, high-contrast analysis of single cells via optical phase delay (OPD) maps.
  • Conventional QPI sensitivity is limited by substrate roughness, hindering measurement of minimal OPDs.

Purpose of the Study:

  • To develop a supersensitive QPI technique with an expanded dynamic range.
  • To improve the sensitivity of emerging QPI methods like mid-infrared photothermal QPI.
  • To enable wide-field scattering imaging of dynamic nanoscale objects within cells.

Main Methods:

  • Adaptive dynamic range shift combining wavefront shaping and dark-field QPI.
  • Differential image analysis for emerging QPI techniques to mitigate OPD limits.

Main Results:

  • Demonstrated a dynamic range expansion (sensitivity improvement) of QPI by a factor of 6.6.
  • Showcased utility in enhancing the sensitivity of mid-infrared photothermal QPI.
  • Enabled label-free, wide-field scattering imaging of intracellular and extracellular nanoscale dynamics.

Conclusions:

  • Supersensitive QPI with adaptive dynamic range shift significantly enhances imaging sensitivity.
  • This technique expands the applicability of QPI for detailed cellular and nanoscale analysis.
  • The method preserves global cellular morphology while revealing fine dynamic nanoscale changes.