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

Quantitative Analysis01:12

Quantitative Analysis

1.5K
Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
1.5K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

821
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...
821
Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

1.7K
Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and...
1.7K
Performing a Simple Data Analysis using MS-Excel Function01:17

Performing a Simple Data Analysis using MS-Excel Function

1.1K
Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
1.1K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.6K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.6K
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

357
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
357

You might also read

Related Articles

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

Sort by
Same author

Modeling time to visual insight in Mooney image recognition with a chaotic recurrent neural network.

Cognitive neurodynamics·2026
Same author

Novel Online Platform for Trauma Care-Integrating Trauma Phenotypes to Optimize the Trauma and Injury Severity Score Model: Retrospective Cohort Study.

JMIR medical informatics·2026
Same author

Approach to Optimizing Tranexamic Acid Use in Trauma: Potential Utilization of Trauma Phenotypes.

Thrombosis and haemostasis·2026
Same author

Single-cell RNA sequencing analysis identified GARP-expressing myeloid cells that deteriorate postinfarct myocardial remodeling.

American journal of physiology. Heart and circulatory physiology·2025
Same author

The RANK/RANKL axis controls vascular dynamics in the bone marrow.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

High HER2 Intratumoral Heterogeneity Is Resistant to Anti-HER2 Neoadjuvant Chemotherapy in Early Stage and Locally Advanced HER2-Positive Breast Cancer.

Cancers·2025
Same journal

[The frontier of adipocyte biology, cold environment induces thermogenic genes via epigenomic switch.]

Clinical calcium·2019
Same journal

[Sequential treatment of osteoporosis with anti-sclerostin.]

Clinical calcium·2019
Same journal

[The sequential therapy of romosozumab followed by denosumab for osteoporosis.]

Clinical calcium·2019
Same journal

[Wnt signaling in myeloma.]

Clinical calcium·2019
Same journal

[Fate decision of hematopoietic stem cells by Wnt signaling.]

Clinical calcium·2019
Same journal

[Control of inflammatory bone destruction by targeting the Wnt signaling pathway.]

Clinical calcium·2019
See all related articles

Related Experiment Video

Updated: Feb 15, 2026

Live-cell Imaging and Quantitative Analysis of Embryonic Epithelial Cells in Xenopus laevis
06:51

Live-cell Imaging and Quantitative Analysis of Embryonic Epithelial Cells in Xenopus laevis

Published on: May 23, 2010

15.5K

[Quantitative data analysis for live imaging of bone.]

Shigeto Seno1

  • 1Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, Japan.

Clinical Calcium
|January 27, 2018
PubMed
Summary
This summary is machine-generated.

Observing live bone tissue interior was challenging. Bioimage informatics and image processing now enable quantitative analysis of complex bone imaging data.

More Related Videos

Bioengineering of Humanized Bone Marrow Microenvironments in Mouse and Their Visualization by Live Imaging
10:03

Bioengineering of Humanized Bone Marrow Microenvironments in Mouse and Their Visualization by Live Imaging

Published on: August 1, 2017

12.3K
Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness
08:52

Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness

Published on: March 18, 2022

3.5K

Related Experiment Videos

Last Updated: Feb 15, 2026

Live-cell Imaging and Quantitative Analysis of Embryonic Epithelial Cells in Xenopus laevis
06:51

Live-cell Imaging and Quantitative Analysis of Embryonic Epithelial Cells in Xenopus laevis

Published on: May 23, 2010

15.5K
Bioengineering of Humanized Bone Marrow Microenvironments in Mouse and Their Visualization by Live Imaging
10:03

Bioengineering of Humanized Bone Marrow Microenvironments in Mouse and Their Visualization by Live Imaging

Published on: August 1, 2017

12.3K
Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness
08:52

Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness

Published on: March 18, 2022

3.5K

Area of Science:

  • Bioimage informatics
  • Computational biology
  • Biomedical imaging

Background:

  • Bone tissue's density historically limited in vivo observation.
  • Advances in microscopy and fluorescent probes allow visualization of bone cell activity.
  • Increasing data complexity necessitates automated analysis methods.

Purpose of the Study:

  • Introduce bioimage informatics as a key field for biological data analysis.
  • Outline fundamental image processing techniques for bone imaging.
  • Facilitate quantitative analysis of live bone imaging data.

Main Methods:

  • Review of bioimage informatics principles.
  • Explanation of basic image processing algorithms.
  • Application of methods to live bone imaging data.

Main Results:

  • Demonstration of bioimage informatics' role in overcoming observation challenges.
  • Presentation of image processing techniques applicable to bone data.
  • Establishment of a framework for quantitative analysis of bone microenvironment.

Conclusions:

  • Bioimage informatics is crucial for analyzing complex biological images.
  • Image processing techniques are essential for quantitative insights into bone biology.
  • This work provides a foundation for advanced live bone imaging analysis.