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

Typical Model Studies01:30

Typical Model Studies

678
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
678
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

865
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
865
Modeling and Similitude01:12

Modeling and Similitude

711
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
711
Scale-Up Processes01:14

Scale-Up Processes

5
The scale-up of microbial fermentation processes is essential in industrial biotechnology, allowing the transition from laboratory-scale experiments to commercial-scale production while aiming to maintain product yield and quality. This process requires meticulous adjustment of equipment design, process parameters, and contamination control strategies to accommodate increasing culture volumes.At the laboratory scale, cultures are typically maintained in 1 to 10-liter glass or autoclavable...
5
Scaling01:26

Scaling

654
In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
654
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

391
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
391

You might also read

Related Articles

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

Sort by
Same author

Deep learning-enabled discovery of antibiotics effective against <i>Neisseria gonorrhoeae</i>.

Science translational medicine·2026
Same author

Generative AI for synthetic biology: Designing biological parts, circuits, and genomes.

Cell systems·2026
Same author

FATE-MAP predicts teratogenicity and human gastrulation failure modes by integrating deep learning and mechanistic modeling.

Nature communications·2026
Same author

Digital CRISPR-based diagnostics for quantification of Candida auris and resistance mutations.

Nature biomedical engineering·2026
Same author

Loss of vitamin C biosynthesis protects from the pathology of a parasitic infection.

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

Unusual inheritance of a functional <i>cki</i> homolog in the human pathogen <i>Schistosoma mansoni</i>.

Science advances·2025
Same journal

A viral ORFeome library for systems-level genetic dissection of host-pathogen interactions.

Cell·2026
Same journal

Co-option of lysosomal machinery shapes the evolution of the intracellular photosymbiosis supporting coral reefs.

Cell·2026
Same journal

LEF1 and niche factors determine T cell stemness across chronic diseases.

Cell·2026
Same journal

Recurrent patterns of TOP1-mediated neuronal genomic damage shared by major neurodegenerative disorders.

Cell·2026
Same journal

Four-dimensional molecular mapping from a spatial snapshot reveals the dynamics of hair follicle organogenesis.

Cell·2026
Same journal

Whole-cell particle-based digital twin simulations from 4D lattice light-sheet microscopy data.

Cell·2026
See all related articles

Related Experiment Video

Updated: Mar 22, 2026

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.7K

Engineering Models to Scale.

Aaron J Dy1, James J Collins2

  • 1Institute for Medical Engineering and Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

Cell
|April 23, 2016
PubMed
Summary
This summary is machine-generated.

Developing organisms scale patterns for consistent proportions. This study models how regulatory dynamics in engineered Escherichia coli (E. coli) achieve pattern scaling without morphogen gradients.

More Related Videos

A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

8.1K
Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

2.1K

Related Experiment Videos

Last Updated: Mar 22, 2026

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.7K
A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

8.1K
Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

2.1K

Area of Science:

  • Developmental biology
  • Systems biology
  • Microbiology

Background:

  • Organisms must maintain proportional patterns during growth.
  • Morphogen gradients are a common mechanism for pattern formation.
  • Scaling patterns without gradients presents a significant biological question.

Purpose of the Study:

  • To investigate mechanisms of pattern scaling in developing organisms.
  • To model pattern scaling independent of morphogen gradients.
  • To understand the role of regulatory dynamics in achieving size-invariant proportions.

Main Methods:

  • Engineered a model system using Escherichia coli (E. coli).
  • Developed a computational model to simulate pattern formation and scaling.
  • Analyzed regulatory dynamics within the engineered E. coli system.

Main Results:

  • Demonstrated pattern scaling in the engineered E. coli model.
  • Showcased that regulatory dynamics can drive pattern scaling without a morphogen gradient.
  • Identified key regulatory interactions enabling size-independent pattern formation.

Conclusions:

  • Regulatory dynamics are sufficient for achieving pattern scaling.
  • This provides an alternative mechanism to morphogen gradients for proportional development.
  • The E. coli model offers insights into fundamental principles of biological pattern formation.