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

You might also read

Related Articles

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

Sort by
Same author

Optically Detected Magnetic Resonance Based Intracellular Thermometry Using Nanodiamonds Implanted in Adherent Cancer Cells.

ACS applied nano materials·2026
Same author

Simultaneous Holographic Molecular Binding Assays with Internal Calibration Standards.

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

Engineering focusing on cancer.

Cancer cell·2024
Same author

Monitoring polysorbate 80 degradation in protein solutions using Total Holographic Characterization.

International journal of pharmaceutics·2024
Same author

Improved total sensitivity estimation for multiple receive coils in MRI using ratios of first-order statistics.

Magma (New York, N.Y.)·2022
Same author

Distribution of Average Aggregate Density from Stir-Stressed NISTmAb Protein.

Journal of pharmaceutical sciences·2022

Related Experiment Video

Updated: Sep 3, 2025

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

9.6K

Label-free viability assay using in-line holographic video microscopy.

Rostislav Boltyanskiy1, Mary Ann Odete2, Fook Chiong Cheong2

  • 1Spheryx, Inc., New York, NY, 10016, USA. rboltyanskiy@spheryx.solutions.

Scientific Reports
|July 26, 2022
PubMed
Summary

Total holographic characterization (THC) offers an automated, label-free method for assessing cell viability. This technique accurately distinguishes live and dead yeast cells by measuring their refractive index, overcoming limitations of traditional methods.

More Related Videos

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy DHM
07:27

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy DHM

Published on: November 1, 2017

10.5K
Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.3K

Related Experiment Videos

Last Updated: Sep 3, 2025

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

9.6K
Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy DHM
07:27

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy DHM

Published on: November 1, 2017

10.5K
Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.3K

Area of Science:

  • Biotechnology
  • Microscopy
  • Cell Biology

Background:

  • Cell viability assessment is crucial in biologics manufacturing.
  • Traditional methods often rely on unreliable dyes or time-consuming manual cell counting.
  • Label-free, automated techniques are needed for efficient cell viability analysis.

Purpose of the Study:

  • To present Total Holographic Characterization (THC) as an efficient, automated, and label-free method for cell viability identification.
  • To evaluate THC's accuracy in distinguishing live and dead yeast cells.
  • To compare THC performance against traditional trypan blue staining and manual counting.

Main Methods:

  • Utilized an in-line holographic microscope with a 40x objective lens and plane wave illumination.
  • Applied Lorenz-Mie theory to analyze light scattering for single-particle characterization.
  • Measured Saccharomyces cerevisiae yeast viability in the presence of varying isopropanol concentrations over time.
  • Performed all measurements in the native sample environment without dilution or labels.

Main Results:

  • THC accurately identified and distinguished between living and dead yeast cells.
  • Cell viability was effectively determined by measuring the refractive index of individual cells.
  • THC results correlated well with traditional trypan blue staining and manual cell counting.

Conclusions:

  • Total Holographic Characterization (THC) is a viable, label-free technology for accurate cell viability assessment.
  • THC offers an efficient and automated alternative to conventional cell viability testing methods.
  • The refractive index of individual cells, as measured by THC, is a reliable indicator of cell viability.