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

Effects of EDTA on End-Point Detection Methods01:18

Effects of EDTA on End-Point Detection Methods

634
Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a...
634
Definition and Measurement of Pressure: Atmospheric Pressure, Barometer, and Manometer02:57

Definition and Measurement of Pressure: Atmospheric Pressure, Barometer, and Manometer

42.7K
Gas pressure is caused by force exerted by gas molecules colliding with the surfaces of objects. Although the force of each collision is very small, any surface of an appreciable area experiences a large number of collisions in a short time, which can result in high pressure.
42.7K
What are Estimates?01:06

What are Estimates?

8.2K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
8.2K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.1K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.1K
Electric Potential and Potential Difference01:16

Electric Potential and Potential Difference

5.6K
Suppose a positive test charge moves away from a positive static charge, then the Coulomb force does positive work, and its electric potential energy decreases. The potential energy per unit charge is defined as the electric potential. The electric potential is independent of the test charge.
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
5.6K
Identifying Statistically Significant Differences: The F-Test01:14

Identifying Statistically Significant Differences: The F-Test

3.3K
The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
3.3K

You might also read

Related Articles

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

Sort by
Same author

Ultrasound-guided rectus sheath blocks after midline laparotomy: an exploratory observational comparative implementation study comparing the analgesic effect between liposomal bupivacaine and continuous ropivacaine.

BMC surgery·2026
Same author

Planned vaginal birth with epidural analgesia in obese women: Effects on maternal and fetal outcomes. A retrospective cohort study.

European journal of obstetrics & gynecology and reproductive biology: X·2026
Same author

Is perinatal outcome of planned vaginal birth in multiple pregnancy influenced by using epidural analgesia: a systematic review.

Archives of gynecology and obstetrics·2026
Same author

Impact of cenobamate on cortical responses to transcranial magnetic stimulation in people with drug-resistant focal epilepsy.

Epilepsia open·2026
Same author

Retrospective analysis of a failed introduction of intrathecal morphine in elective orthopaedic surgery.

BMC musculoskeletal disorders·2026
Same author

Diagnostic performance of β-(1→3)-D-glucan, two <i>Candida</i> antigen, and five anti-<i>Candida</i> antibody assays in ICU patients with sepsis and high risk for invasive candidiasis: a secondary endpoint of the CandiSep randomized clinical trial.

Journal of clinical microbiology·2026

Related Experiment Video

Updated: Jan 23, 2026

Effects of Blast-induced Neurotrauma on Pressurized Rodent Middle Cerebral Arteries
08:21

Effects of Blast-induced Neurotrauma on Pressurized Rodent Middle Cerebral Arteries

Published on: April 1, 2019

7.6K

Effective Cerebral Perfusion Pressure: Does the Estimation Method Make a Difference?

Frank Grüne1, Egbert G Mik1, Erik Dieters1

  • 1Department of Anesthesiology, Erasmus University Medical Centre, Rotterdam.

Journal of Neurosurgical Anesthesiology
|June 18, 2019
PubMed
Summary
This summary is machine-generated.

Two new methods accurately estimate cerebral perfusion pressure (CPPe), zero-flow pressure (ZFP), and resistance area product (RAP), offering reliable alternatives to standard linear regression for cerebral blood flow assessment.

More Related Videos

Intravascular Perfusion of Carbon Black Ink Allows Reliable Visualization of Cerebral Vessels
13:16

Intravascular Perfusion of Carbon Black Ink Allows Reliable Visualization of Cerebral Vessels

Published on: January 4, 2013

16.0K
Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion
12:15

Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion

Published on: February 17, 2013

23.7K

Related Experiment Videos

Last Updated: Jan 23, 2026

Effects of Blast-induced Neurotrauma on Pressurized Rodent Middle Cerebral Arteries
08:21

Effects of Blast-induced Neurotrauma on Pressurized Rodent Middle Cerebral Arteries

Published on: April 1, 2019

7.6K
Intravascular Perfusion of Carbon Black Ink Allows Reliable Visualization of Cerebral Vessels
13:16

Intravascular Perfusion of Carbon Black Ink Allows Reliable Visualization of Cerebral Vessels

Published on: January 4, 2013

16.0K
Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion
12:15

Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion

Published on: February 17, 2013

23.7K

Area of Science:

  • Neuroscience
  • Medical Engineering
  • Cardiology

Background:

  • Cerebral perfusion pressure (CPPe), zero-flow pressure (ZFP), and resistance area product (RAP) are critical for cerebral blood flow.
  • Traditional estimation relies on linear regression of middle cerebral artery pressure-velocity relationships.

Purpose of the Study:

  • To validate four alternative methods for estimating CPPe, ZFP, and RAP against the standard linear regression method.
  • To assess the agreement and correlation of different estimation techniques.

Main Methods:

  • Utilized data from patients undergoing internal cardioverter defibrillator implantation.
  • Estimated CPPe, ZFP, and RAP using linear regression, 3-point intercept (LR3), Czosnyka, Belford, and Schmidt methods.
  • Compared the primary endpoint: difference, correlation, and agreement of CPPe measurements.

Main Results:

  • The 3-point intercept and Czosnyka methods demonstrated small mean differences, good agreement, low percentage errors, and excellent correlation with the reference method.
  • The Belford method showed moderate agreement and correlation.
  • The Schmidt method yielded unsatisfactory results.

Conclusions:

  • CPPe, ZFP, and RAP measurements using the 3-point intercept and Czosnyka methods are comparable to the established linear regression reference.
  • These alternative methods provide reliable estimations for cerebral blood flow parameters.