Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 9, 2026

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)

Published on: November 1, 2017

Quantitative analysis of digital microscope images.

David E Wolf¹, Champika Samarasekera, Jason R Swedlow

¹Sensor Technologies, LLC, Shrewsbury, Massachusetts, USA.

Methods in Cell Biology

|August 13, 2013

Summary

This summary is machine-generated.

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

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026

Same author

Systematic characterisation of site-specific proline hydroxylation using hydrophilic interaction chromatography and mass spectrometry.

eLife·2026

Same author

PHD1-dependent hydroxylation of RepoMan (CDCA2) on P604 modulates the control of mitotic progression.

eLife·2026

Same author

Compounds Reducing Human Sperm Motility as Potential Nonhormonal Contraceptives Identified Using a High-Throughput Phenotypic Screening Platform.

ACS omega·2026

Same author

FAIR sharing of Chromatin Tracing datasets using the newly developed 4DN FISH Omics Format.

ArXiv·2025

Same author

Enabling global image data sharing in the life sciences.

Nature methods·2025

Same journal

Quantification of cell viability by automated analysis of live cell imaging.

Methods in cell biology·2026

Same journal

Flow cytometry evaluation of cytotoxicity exerted by effector immune cells against tumor cells.

Methods in cell biology·2026

Same journal

Time-lapse confocal laser scanning microscopy analysis of FOOD formation.

Methods in cell biology·2026

Same journal

Screening and identification of protein-protein interaction using proximity labeling.

Methods in cell biology·2026

Same journal

Quantitative high-content profiling of mitochondrial morphology with automated statistical analysis and integrated data visualization.

Methods in cell biology·2026

Same journal

Super-resolution imaging of cell death in Drosophila tissues via expansion and pan-expansion microscopy.

Methods in cell biology·2026

See all related articles

This chapter explains quantitative analysis of digital microscope images, covering data processing, image correction, and quantization. Understanding these concepts is crucial for accurate scientific data interpretation.

Area of Science:

Microscopy and Imaging Science
Data Analysis and Signal Theory

Background:

Quantitative analysis of digital microscope images is essential for accurate scientific interpretation.
Foundational concepts rely on signal theory and quantitative data analysis.

Purpose of the Study:

To explain the concept of quantitative analysis for digital microscope images.
To provide examples and exercises for understanding the imaging process and data transformation.
To highlight critical data transformation types and quantization issues.

Main Methods:

Discusses the imaging process as a sample-to-image transformation.
Introduces digital image correction techniques.
Focuses on data transformation and quantization in image processing.

Keywords:

Calibration curve Flatfield correction Fluorescent beads Microscope field Quantitative analysis

More Related Videos

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

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

Published on: April 7, 2014

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

Related Experiment Videos

Last Updated: May 9, 2026

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)

Published on: November 1, 2017

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

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

Published on: April 7, 2014

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

Main Results:

Presents exercises to illustrate quantitative image analysis concepts.
Explains the limits and considerations in quantitative analysis.
Identifies frequently encountered issues in quantization.

Conclusions:

Image processing is a form of data processing requiring careful handling.
All steps of transformation, processing, and quantization are critical for reliable results.
Emphasizes the importance of meticulous care throughout the data analysis pipeline.