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

Gradient and Del Operator01:14

Gradient and Del Operator

3.0K
In mathematics and physics, the gradient and del operator are fundamental concepts used to describe the behavior of functions and fields in space. The gradient is a mathematical operator that gives both the magnitude and direction of the maximum spatial rate of change. Consider a person standing on a mountain. The slope of the mountain at any given point is not defined unless it is quantified in a particular direction. For this reason, a "directional derivative" is defined, which is a vector...
3.0K
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

128
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
128
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

106
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
106
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

177
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
177
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

159
The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
159
Errors in Global Positioning System01:26

Errors in Global Positioning System

121
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
121

You might also read

Related Articles

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

Sort by
Same author

Perfect adaptation in eukaryotic gradient sensing using cooperative allosteric binding.

Physical review. E·2026
Same author

Intrinsic stochasticity in cell polarity and contact inhibition of locomotion.

ArXiv·2026
Same author

Divergence of detachment forces in the finite Voronoi model.

ArXiv·2026
Same author

Competing chemical gradients change chemotactic dynamics and cell distribution.

Physical review. E·2026
Same author

Controlling tissue size by active fracture.

Physical review. E·2026
Same author

Using endocytosis to switch between chemoattraction and chemorepulsion.

bioRxiv : the preprint server for biology·2025

Related Experiment Video

Updated: Sep 22, 2025

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
08:23

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

6.4K

Collective gradient sensing with limited positional information.

Emiliano Perez Ipiña1, Brian A Camley2

  • 1Department of Physics & Astronomy, Johns Hopkins University, Baltimore, Maryland 21218, USA.

Physical Review. E
|May 20, 2022
PubMed
Summary

Cell clusters sense chemical gradients better than single cells. However, limited positional information within the cluster reduces collective gradient sensing accuracy, impacting cell movement decisions.

More Related Videos

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.4K
Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix
09:26

Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix

Published on: June 12, 2015

8.6K

Related Experiment Videos

Last Updated: Sep 22, 2025

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
08:23

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

6.4K
Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.4K
Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix
09:26

Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix

Published on: June 12, 2015

8.6K

Area of Science:

  • Cell biology
  • Biophysics
  • Systems biology

Background:

  • Eukaryotic cells navigate environments by sensing chemical gradients.
  • Cell clusters can enhance gradient sensing accuracy through collective measurements.
  • The impact of limited positional information on collective sensing is not well understood.

Purpose of the Study:

  • To investigate how limited positional information affects the gradient-sensing accuracy of cell clusters.
  • To compare collective sensing models with and without positional information integration.

Main Methods:

  • Utilized maximum likelihood estimation to model gradient sensing in cell clusters.
  • Analyzed the effect of increasing cell positional uncertainty on sensing accuracy.
  • Compared a collective integration model with a 'tug-of-war' model.

Main Results:

  • Limited positional information within a cell cluster decreases collective gradient-sensing accuracy.
  • Increased positional uncertainty leads to a trade-off, favoring the tug-of-war model in certain scenarios.
  • The tug-of-war model remains suboptimal compared to full integration for large clusters or shallow gradients.

Conclusions:

  • Positional information is crucial for optimal collective gradient sensing in cell clusters.
  • While simplified models offer advantages with uncertainty, integrated sensing remains superior under specific conditions.
  • Understanding these trade-offs is vital for predicting and controlling collective cell behavior.