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

Flow Cytometry01:23

Flow Cytometry

16.8K
The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
In...
16.8K

You might also read

Related Articles

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

Sort by
Same author

Breakdown Strength Enhancement and Space Charge Suppression of Low-density Polyethylene by Adding Fluorinated Graphene.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Discovery of Mg<sub>3</sub>Zn<sub>2</sub> Intermetallic Phase in the Mg-Zn System Enabled by Neuroevolution Potentials.

Inorganic chemistry·2026
Same author

Palea and grain shrunken encoding OsMADS15 determines palea identity to affect rice grain yield and quality.

Journal of genetics and genomics = Yi chuan xue bao·2026
Same author

Effect of Cl-Doping on K<sub>3</sub>PS<sub>4</sub> as a Superionic Solid Electrolyte for K-Ion Batteries.

Inorganic chemistry·2026
Same author

Retraction notice to "Jiedu Tongluo Baoshen formula enhances renal tubular epithelial cell autophagy to prevent renal fibrosis by activating SIRT1/LKB1/AMPK pathway" [Biomedicine & Pharmacotherapy 160 (2023) 114340].

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026
Same author

Bifunctional DNA multivalent structure integrating stable capture of urothelial carcinoma cells with CRISPR/Cas12a signal amplification for bladder cancer detection.

Biosensors & bioelectronics·2026
Same journal

A Modular High-Parameter Flow Cytometry Framework: Pre-Analytical Optimization and Validation for Clinical Research.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026
Same journal

Quantitative Detection of Entotic Cell-In-Cell Structures Using Deformable Segmentation and Deep Learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026
Same journal

Comparison of Tissue Preparations to Identify and Phenotype T Cells in Human Colorectal Tumor Tissue.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026
Same journal

Refractive Index-Correlated Pseudocoloring for Adaptive Color Fusion in Holotomographic Cytology.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026
Same journal

Ensembling Unets for Rare Chromosomal Aberration Detection in Metaphase Images, Uncertainty Quantification, and Ionizing Radiation Dose Estimation.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026
Same journal

OMIP-121: Immune Phenotyping of Canine Peripheral Leukocytes by Mass Cytometry.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026
See all related articles

Related Experiment Video

Updated: Mar 3, 2026

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

13.2K

Large population cell characterization using quantitative phase cytometer.

Di Jin1,2, Yongjin Sung1,3, Niyom Lue1

  • 1Laser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|April 27, 2017
PubMed
Summary
This summary is machine-generated.

Quantitative phase cytometry (QPC) offers a novel, non-invasive method for precisely measuring cell dry mass and morphology in large cell populations. This technique enables high-content, label-free cellular analysis at single-cell resolution.

Keywords:
cell dry masshigh contentimage cytometryquantitative phase imaging

More Related Videos

A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells
12:48

A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells

Published on: February 16, 2018

7.9K
Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques
09:48

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Published on: June 30, 2017

7.9K

Related Experiment Videos

Last Updated: Mar 3, 2026

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

13.2K
A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells
12:48

A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells

Published on: February 16, 2018

7.9K
Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques
09:48

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Published on: June 30, 2017

7.9K

Area of Science:

  • Cellular biology
  • Biophysics
  • Quantitative imaging

Background:

  • Phenotypic characterization of large cell populations is challenging.
  • Traditional techniques struggle with direct, precise measurement of cell dry mass.
  • Cell dry mass is a key indicator of cell size and state.

Purpose of the Study:

  • To introduce a novel interferometric approach for high-content, precision dry mass measurements.
  • To develop a non-invasive technique for characterizing adherent cells.
  • To enable label-free phenotypic characterization of large cell populations.

Main Methods:

  • Development of quantitative phase cytometry (QPC) using line-focused beam illumination.
  • Utilizing interferometric data for dry mass and morphological feature extraction.
  • Application of QPC to characterize a population of approximately 10^4 HeLa cells.

Main Results:

  • QPC successfully performed non-invasive, precision dry mass measurements.
  • Abundant morphological features (e.g., projected area, sphericity) were extracted.
  • Characterization of a large HeLa cell population (∼10^4 cells) was demonstrated.

Conclusions:

  • QPC is a promising tool for label-free cellular analysis.
  • The technique provides single-cell resolution for large cell counts.
  • QPC facilitates high-content phenotypic characterization with precision dry mass data.