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

Microbial Growth Measurement: Direct Methods01:23

Microbial Growth Measurement: Direct Methods

Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...

You might also read

Related Articles

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

Sort by
Same author

Crack/cocaine use to manage xylazine exposure in fentanyl in Connecticut: findings from a convergent mixed methods study.

Harm reduction journal·2026
Same author

Zeroing in on xylazine - a mixed methods study to explore correlates of reported xylazine use and educational gaps among people who use drugs.

Harm reduction journal·2026
Same author

Travel Time to Methadone Treatment Via Personal Vehicle vs Public Transit.

JAMA network open·2026
Same author

Increasing timely access to evidence-based treatment for opioid use disorder using novel digital health and system dynamics modelling approaches: a study protocol.

BMJ open·2025
Same author

Self-Reported Readiness-to-Change Alcohol Use in Emergency Department Patients With Alcohol Use Disorder Is Associated With Linkage to Treatment.

Annals of emergency medicine·2025
Same author

Allocative efficiency analysis of strategies to reduce overdose deaths among people with opioid use disorder and history of incarceration in Connecticut.

BMC public health·2025
Same journal

Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation.

Statistics in medicine·2026
Same journal

Adaptive Sequential Multiple Hypotheses Testing for Concomitant Vaccine Safety Surveillance.

Statistics in medicine·2026
Same journal

Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.

Statistics in medicine·2026
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
Same journal

Moving From Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained From Prevention Services as a Basis for Eligibility.

Statistics in medicine·2026
See all related articles

Related Experiment Video

Updated: Jun 18, 2026

Design and Use of Multiplexed Chemostat Arrays
19:40

Design and Use of Multiplexed Chemostat Arrays

Published on: February 23, 2013

Statistical design for a small serial dilution series.

Daniel Zelterman1, Alexander Tulupyev, Robert Heimer

  • 1Department of Epidemiology and Public Health, Yale University, New Haven, CT 06520, U.S.A. daniel.zelterman@yale.edu

Statistics in Medicine
|November 28, 2009
PubMed
Summary
This summary is machine-generated.

This study presents statistical methods for estimating viral particle counts using serial dilution, especially when few samples are available. The maximum entropy design is recommended for practical laboratory use in viral viability studies.

More Related Videos

Diagonal Method to Measure Synergy Among Any Number of Drugs
12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

High-Throughput Live Imaging of Microcolonies to Measure Heterogeneity in Growth and Gene Expression
12:52

High-Throughput Live Imaging of Microcolonies to Measure Heterogeneity in Growth and Gene Expression

Published on: April 18, 2021

Related Experiment Videos

Last Updated: Jun 18, 2026

Design and Use of Multiplexed Chemostat Arrays
19:40

Design and Use of Multiplexed Chemostat Arrays

Published on: February 23, 2013

Diagonal Method to Measure Synergy Among Any Number of Drugs
12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

High-Throughput Live Imaging of Microcolonies to Measure Heterogeneity in Growth and Gene Expression
12:52

High-Throughput Live Imaging of Microcolonies to Measure Heterogeneity in Growth and Gene Expression

Published on: April 18, 2021

Area of Science:

  • Biostatistics
  • Virology
  • Infectious Disease Epidemiology

Background:

  • Accurate quantification of viral particles is crucial for understanding transmission dynamics.
  • Limited sample availability poses challenges in traditional viral load estimation methods.
  • Assessing the viability of human immunodeficiency virus (HIV) in clinical and public health contexts requires robust statistical approaches.

Purpose of the Study:

  • To develop and evaluate statistical designs for serial dilution experiments to estimate viral particle numbers.
  • To address the challenge of limited aliquot availability in viral quantification assays.
  • To compare information-theoretic design criteria for optimizing laboratory workflows.

Main Methods:

  • Utilized a gamma prior distribution to model the number of viral particles.
  • Developed statistical plans for serial dilution series.
  • Compared a design minimizing expected reciprocal information with a maximum entropy design.

Main Results:

  • The gamma prior distribution effectively describes the marginal probability distribution of experimental outcomes.
  • The maximum entropy design was found to be more practical for laboratory technicians compared to minimizing expected reciprocal information.
  • The statistical framework is applicable to estimating viral load in scenarios like HIV transmission.

Conclusions:

  • The proposed statistical designs enhance the accuracy and efficiency of viral particle quantification.
  • The maximum entropy approach offers a user-friendly and effective strategy for laboratory implementation.
  • This work contributes to better understanding and control of blood-borne viral infections.