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

Velocity and Position by Graphical Method01:34

Velocity and Position by Graphical Method

Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to calculate...
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...

You might also read

Related Articles

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

Sort by
Same author

Artificial Intelligence-informed Architectural Insights of 3-dimensional Glandular Networks Identify Patients With Prostate Cancer at a Higher Risk of Biochemical Recurrence.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc·2026
Same author

From trial to practice: real-world outcomes of neoadjuvant chemoimmunotherapy versus chemotherapy ± radiotherapy in resectable locally advanced NSCLC.

Cirugia espanola·2026
Same author

Spatio-Temporal Characterization of Gastric Distensibility in Upper Endoscopy Identifies the Presence of Helicobacter pylori.

IEEE transactions on medical imaging·2026
Same author

Towards deep-learning based detection and quantification of intestinal metaplasia on digitized gastric biopsies: a multi-expert comparative study.

Scientific reports·2026
Same author

Multimodal educational model for the management of placenta accreta spectrum: Participants' perceived usefulness.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics·2026
Same author

Systematic characterization of mammalian extracellular vesicles using nano-flow cytometry.

Extracellular vesicle·2025
Same journal

Deep Learning Based Framework for Detection and Classification of Leukemia Using Microscopic Images.

Microscopy research and technique·2026
Same journal

Externally Controlled In Situ SEM: Multi-Rate Scanning With Signal Regulation and Spatiotemporal Fusion.

Microscopy research and technique·2026
Same journal

In Situ TEM Observation of Phase Transformation Nucleation at the Near-Surface of Synthetic Aragonite.

Microscopy research and technique·2026
Same journal

Morpho-Anatomical and HPTLC Investigations of Lysimachia nummularia L. (Primulaceae) Grown in Switzerland.

Microscopy research and technique·2026
Same journal

Macroscopic, Histological and Ultrastructural Features of the Tongue of the Anatolian Wild Boar (Sus scrofa libycus).

Microscopy research and technique·2026
Same journal

Ultrastructural Insights Into the Reproductive Anatomy and Eggs of Cotton Pink Bollworm, Pectinophora gossypiella Saunders (Lepidoptera: Gelechiidae).

Microscopy research and technique·2026
See all related articles

Related Experiment Video

Updated: Jun 20, 2026

Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows
07:53

Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows

Published on: April 25, 2013

A model for predicting pathologist's velocity profiles when navigating virtual slides.

Francisco Gómez1, Eduardo Romero

  • 1Bioingenium Research Group, Ciudad Universitaria, National University of Colombia, Bogotá DC, Colombia.

Microscopy Research and Technique
|September 3, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a Bayesian model to predict pathologist navigation paths on virtual slides, improving diagnostic efficiency. The soft computing approach significantly reduces prediction errors compared to conventional methods.

More Related Videos

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Related Experiment Videos

Last Updated: Jun 20, 2026

Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows
07:53

Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows

Published on: April 25, 2013

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Area of Science:

  • Digital pathology
  • Computational pathology
  • Medical image analysis

Background:

  • Large microscopic images (virtual slides) are crucial for pathology and histology but difficult to navigate.
  • Conventional navigation techniques are inadequate for efficient exploration of these large image files.

Purpose of the Study:

  • To develop a soft computing model for predicting pathologist trajectories during virtual slide exploration.
  • To enhance navigation efficiency in digital pathology for diagnosis and education.

Main Methods:

  • A Bayesian strategy combining an offline model (prior) and an online prediction module (likelihood).
  • Expectation-Maximization strategy for optimizing the offline model parameters.
  • Particle filter for online prediction of pathologist navigation patterns.
  • Parameter estimation using navigation data from multiple pathologists and virtual slides.

Main Results:

  • The proposed Bayesian model significantly reduces the Mean Squared Error (MSE) of trajectory prediction.
  • Prediction error decreased by approximately 50% compared to conventional prediction methods across all pathologists.
  • The model effectively captures individual pathologist navigation patterns.

Conclusions:

  • The developed soft computing model offers a promising solution for efficient navigation in large virtual slides.
  • This predictive approach can improve diagnostic accuracy, teaching effectiveness, and telemedicine applications in pathology.