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

Bioavailability Enhancement: Determination and Conceptual Approaches in Overcoming Bioavailability Problems01:22

Bioavailability Enhancement: Determination and Conceptual Approaches in Overcoming Bioavailability Problems

Bioavailability is a critical pharmacological concept that measures the extent and rate at which an active drug ingredient or therapeutic moiety enters the systemic circulation, remaining unchanged. It's a pivotal factor in determining a drug's efficacy and safety.The Biopharmaceutics Classification System (BCS) plays an essential role in drug development by categorizing drugs into four classes based on their solubility and permeability. This classification aids in understanding drug absorption...
Measurement of Bioavailability: Pharmacodynamic Methods01:20

Measurement of Bioavailability: Pharmacodynamic Methods

Pharmacodynamic methods provide insights into a drug's effects on physiological processes over time and play a crucial role in understanding bioavailability and therapeutic efficacy. These methods can be broadly classified into acute pharmacological and therapeutic response approaches, each with distinct mechanisms and applications.The acute pharmacological response method directly correlates a drug's physiological effects, such as ECG or pupil diameter changes, to its time course in the body.
Biopharmaceutics and Pharmacokinetics: Overview01:28

Biopharmaceutics and Pharmacokinetics: Overview

Understanding drugs, drug products, and their performance in pharmaceutical science is pivotal. Drugs, whether simple molecules or complex compounds, are designed to interact with the body's biological systems to diagnose, treat, or prevent diseases. Drug products include various delivery systems such as tablets, capsules, injections, and inhalers. The performance of these drug products is gauged by their ability to deliver the active ingredient to the desired site of action at the appropriate...
Measurement of Bioavailability: Pharmacokinetic Methods01:30

Measurement of Bioavailability: Pharmacokinetic Methods

Pharmacokinetics is a vital branch of pharmacology that examines how drugs are absorbed, distributed, metabolized, and excreted by the body. Two key methodologies in pharmacokinetics are plasma drug concentration studies and urinary drug excretion analyses, both of which provide critical insights into a drug's therapeutic efficacy and bioavailability.Plasma Drug Concentration-Time StudiesPlasma drug concentration-time studies involve analyzing blood samples at specific intervals to quantify...
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...

You might also read

Related Articles

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

Sort by
Same author

BioMedGraphica: an all-in-one platform for joint textual biomedical prior knowledge and numeric graph generation.

Bioinformatics (Oxford, England)·2026
Same author

Study on the influence of steel reinforcement on the bonding performance and crack width of UHPC-NSC interface.

Scientific reports·2026
Same author

IVUS-optimized sequential rotational atherectomy with IABP support for severely calcified unprotected left main disease: a systematic integration strategy: a case report.

European heart journal. Case reports·2026
Same author

Interpreting Omics Data Analysis with Large Language Models for Disease Target and Drug Discovery.

bioRxiv : the preprint server for biology·2026
Same author

SnakeAltPromoter Facilitates Differential Alternative Promoter Analysis.

Computational and structural biotechnology journal·2026
Same author

4D injection molding.

Nature communications·2026

Related Experiment Video

Updated: May 11, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

Chapter 17: bioimage informatics for systems pharmacology.

Fuhai Li1, Zheng Yin, Guangxu Jin

  • 1NCI Center for Modeling Cancer Development, Department of Systems Medicine and Bioengineering, The Methodist Hospital Research Institute, Weil Medical College of Cornell University, Houston, Texas, USA.

Plos Computational Biology
|May 2, 2013
PubMed
Summary

Automated microscopy generates vast cell data for drug discovery. Bioimage informatics tools are essential for analyzing this data, enabling objective quantification of phenotypic changes and advancing research.

More Related Videos

Imaging Protein-protein Interactions in vivo
11:15

Imaging Protein-protein Interactions in vivo

Published on: October 10, 2010

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Related Experiment Videos

Last Updated: May 11, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

Imaging Protein-protein Interactions in vivo
11:15

Imaging Protein-protein Interactions in vivo

Published on: October 10, 2010

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Area of Science:

  • Cell biology
  • Bioimage informatics
  • Drug discovery

Background:

  • Automated microscopy and robotics enable large-scale cell population studies.
  • These studies offer enhanced statistical power compared to traditional methods.
  • Manual analysis of complex image data is a significant bottleneck.

Purpose of the Study:

  • To provide an overview of bioimage informatics challenges and approaches for image-based drug and target discovery.
  • To illustrate the capabilities of image-based screening with practical examples.
  • To guide researchers in applying bioimage informatics tools.

Main Methods:

  • Object detection, segmentation, and tracking for image analysis.
  • Quantitative feature extraction and phenotype identification.
  • Multidimensional profile analysis for drug and target effects.

Main Results:

  • Demonstration of image-based screening for various phenotypic changes induced by drugs, compounds, and RNA interference (RNAi).
  • Summary of quantitative approaches for analyzing cellular morphology and responses.
  • Listing of publicly available bioimage informatics software.

Conclusions:

  • Bioimage informatics is crucial for objective and efficient analysis of high-throughput cell imaging data.
  • These methods accelerate drug and target discovery by enabling robust phenotypic profiling.
  • The review empowers researchers to utilize bioimage informatics tools effectively.