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

Real Time RT-PCR02:57

Real Time RT-PCR

65.3K
Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
65.3K
What are Estimates?01:06

What are Estimates?

8.9K
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...
8.9K
Estimation of k and VD of Aminoglycosides01:20

Estimation of k and VD of Aminoglycosides

250
Aminoglycosides are a class of antibiotics used to treat various bacterial infections. Clinicians must determine the elimination rate constant (k) and volume of distribution (VD) to optimize therapeutic efficacy and minimize toxicity. The k value represents the rate at which the drug is removed from the body, and the VD reflects the degree to which the drug distributes into body tissues. Accurately estimating these parameters allows healthcare professionals to tailor drug dosing to individual...
250
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

7.9K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
7.9K
Real Number System01:27

Real Number System

1.2K
The real number system includes all numbers used for counting, measuring, and comparing quantities. Natural numbers are the basic counting numbers: 1, 2, 3, and so on. Integers expand this set by including zero and negative whole numbers: ..., –3, –2, –1, 0, 1, 2, .... Rational numbers are those that can be expressed as the ratio of two integers m/n, where n≠0. This includes fractions like 1/2​, integers such as 46, and decimals that terminate, such as 0.17, or...
1.2K
Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

3.4K
When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
3.4K

You might also read

Related Articles

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

Sort by
Same author

SqueakPose Studio, an end-to-end platform for pose estimation and real-time edge-AI deployment.

eLife·2026
Same author

External Globus Pallidus Arkypallidal Circuit Dynamics Gate Risk-Taking Behavior.

bioRxiv : the preprint server for biology·2026
Same author

Motor cortex somatostatin interneurons adaptively shape the structure of action sequences.

Nature communications·2026
Same author

Acute EtOH enhances septohippocampal coordination but disrupts intrinsic hippocampal theta dynamics during foraging.

bioRxiv : the preprint server for biology·2025
Same author

Peripheral alcohol metabolism dictates ethanol consumption and drinking microstructure in mice.

bioRxiv : the preprint server for biology·2025
Same author

Alcohol effects on associative and sensorimotor cortico-thalamo-basal ganglia circuits alter decision making and alcohol intake.

Alcohol (Fayetteville, N.Y.)·2025

Related Experiment Video

Updated: Feb 10, 2026

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
06:31

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform

Published on: August 4, 2022

3.7K

SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment.

David L Haggerty1, Caleb B Darden1, David M Lovinger1

  • 1Laboratory for Integrative Neuroscience, Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, USA.

Biorxiv : the Preprint Server for Biology
|February 9, 2026
PubMed
Summary

We developed an integrated system for pose estimation, enabling real-time animal behavior analysis on edge devices. This platform streamlines data collection, model training, and deployment without needing powerful workstations.

More Related Videos

Cell-Based Electrical Impedance Platform to Evaluate Zika Virus Inhibitors in Real Time
05:49

Cell-Based Electrical Impedance Platform to Evaluate Zika Virus Inhibitors in Real Time

Published on: March 24, 2023

1.2K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.2K

Related Experiment Videos

Last Updated: Feb 10, 2026

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
06:31

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform

Published on: August 4, 2022

3.7K
Cell-Based Electrical Impedance Platform to Evaluate Zika Virus Inhibitors in Real Time
05:49

Cell-Based Electrical Impedance Platform to Evaluate Zika Virus Inhibitors in Real Time

Published on: March 24, 2023

1.2K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.2K

Area of Science:

  • Behavioral neuroscience
  • Computational biology
  • Machine learning

Background:

  • Accurate pose estimation is crucial for quantitative behavior analysis.
  • Current deep learning tools often require complex, offline workflows and specialized hardware.
  • Real-time deployment of pose estimation models is challenging due to software fragmentation and hardware limitations.

Purpose of the Study:

  • To present an integrated software-hardware ecosystem for pose estimation.
  • To enable seamless transition from dataset creation to real-time deployment on edge devices.
  • To overcome limitations of existing offline-centric pose estimation tools.

Main Methods:

  • Developed SqueakPose Studio for dataset creation, labeling, training, and offline inference.
  • Utilized modern object-detection architectures for efficient end-to-end training and inference.
  • Integrated SqueakView and MouseHouse for real-time deployment on embedded edge-computing hardware.

Main Results:

  • The system supports efficient pose estimation across CPUs, GPUs, and Apple Silicon.
  • Enabled real-time model deployment, video capture, and sensor logging on edge devices.
  • Ensured consistency between offline analysis and real-time deployment through a shared data format and deterministic timing.

Conclusions:

  • The SqueakPose ecosystem provides a unified platform for both offline and real-time pose estimation.
  • Facilitates behavior analysis on embedded edge-computing devices without reliance on workstation-grade hardware.
  • Advances the accessibility and application of deep learning for quantitative behavior analysis in experimental settings.