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

Modeling and Similitude01:12

Modeling and Similitude

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...
Morphogenesis02:19

Morphogenesis

Plant morphogenesis—the development of a plant’s form and structure—involves several overlapping developmental processes, including growth and cell differentiation. Precursor cells differentiate into specific cell types, which are organized into the tissues and organ systems that make up the functional plant.
Steps in the Modeling Process01:14

Steps in the Modeling Process

Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
Plastic Deformations01:14

Plastic Deformations

It is essential to understand how structural members behave under plastic deformation when the bending stress exceeds the material's yield strength. This state of deformation permanently alters the shape of the member, in contrast to the linear elastic behavior observed before yielding. The strain at any point in the member is expressed in terms of maximum strain. Notably, the neutral axis, which coincides with the centroid during elastic bending, shifts away from the centroid under plastic...
Plastic Deformations01:19

Plastic Deformations

Plastic deformation represents a fundamental concept in materials science, which explains the irreversible change in the shape of a material when it experiences stress beyond its elastic capability. This phenomenon is important in structural engineering, especially in designing and analyzing cantilever beams—structures that are securely fixed at one end and bear loads at the opposite end. When these beams are subjected to loads within their elastic range, they will return to their original...
Plastic Deformations of Members with a Single Plane of Symmetry01:21

Plastic Deformations of Members with a Single Plane of Symmetry

When a structural member undergoes plastic deformation due to bending, it is crucial to understand the position of the neutral axis and the stress distribution. This member, characterized by a single plane of symmetry, exhibits a uniform stress distribution, with negative stress above the neutral axis and positive stress below. Notably, the neutral axis does not align with the centroid of the cross-section. This misalignment is typical in cases where the cross-section is not rectangular or...

You might also read

Related Articles

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

Sort by
Same author

Linear Optimal Transport Subspaces for Point Set Classification.

Journal of mathematical imaging and vision·2026
Same author

Big1 is a cell-cycle regulator linking cell size to basal body number in Tetrahymena thermophila.

Current biology : CB·2026
Same author

SPRM: spatial process and relationship modeling for multiplexed images.

Bioinformatics advances·2026
Same author

Leave it alone: the natural history of growth-friendly graduates without a final fusion.

Spine deformity·2026
Same author

The Age of Definitive Fusion Surgery for Early Onset Scoliosis Has Remained Constant Over the Past 2 Decades.

Journal of pediatric orthopedics·2026
Same author

Augmenting early stroke diagnosis with an eye-tracker.

Frontiers in neurology·2025
Same journal

LEARNABLE HIERARCHICAL VISUAL CONTEXTS FOR TUMOR SEGMENTATION IN COMPUTED TOMOGRAPHY IMAGES.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
Same journal

DUAL CROSS-ATTENTION SIAMESE TRANSFORMER FOR RECTAL TUMOR REGROWTH ASSESSMENT IN WATCH-AND-WAIT ENDOSCOPY.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
Same journal

LUMEN: LONGITUDINAL MULTI-MODAL RADIOLOGY MODEL FOR PROGNOSIS AND DIAGNOSIS.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
Same journal

OVERVIEW OF THE CXR-LT 2026 CHALLENGE: MULTI-CENTER LONG-TAILED AND ZERO SHOT CHEST X-RAY CLASSIFICATION.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
Same journal

CROSS-MODAL FINE-TUNING OF 3D CONVOLUTIONAL FOUNDATION MODELS FOR ADHD CLASSIFICATION WITH LOW-RANK ADAPTATION.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
Same journal

AN IN SILICO STUDY OF LOW-INTENSITY FOCUSED ULTRASOUND DISPLACEMENT MAPPING WITH A 220 KHZ CLINICAL PHASED-ARRAY TRANSDUCER.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
See all related articles

Related Experiment Video

Updated: Jun 11, 2026

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

Instance-Based Generative Biological Shape Modeling.

Tao Peng1, Wei Wang, Gustavo K Rohde

  • 1Center for Bioimage Informatics and Department of Biomedical Engineering, Carnegie Mellon University, U. S. A.

Proceedings. IEEE International Symposium on Biomedical Imaging
|September 28, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a new instance-based method for biological shape modeling, enabling accurate simulation of complex cell behaviors. The approach generalizes to various biological shapes in 2D and 3D, advancing systems biology research.

More Related Videos

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Morphometric Analyses of Shape: The Analysis Software Toolbox for Craniofacial Shape Quantification in Zebrafish
09:03

Morphometric Analyses of Shape: The Analysis Software Toolbox for Craniofacial Shape Quantification in Zebrafish

Published on: February 27, 2026

Related Experiment Videos

Last Updated: Jun 11, 2026

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Morphometric Analyses of Shape: The Analysis Software Toolbox for Craniofacial Shape Quantification in Zebrafish
09:03

Morphometric Analyses of Shape: The Analysis Software Toolbox for Craniofacial Shape Quantification in Zebrafish

Published on: February 27, 2026

Area of Science:

  • Computational Biology
  • Systems Biology
  • Biophysics

Background:

  • Biological shape modeling is crucial for simulating complex cellular behaviors in systems biology.
  • Current statistical learning methods often struggle with complex shapes and require extensive dataset-specific model design.
  • Parametric approaches are limited by simple shape assumptions and parameter distributions.

Purpose of the Study:

  • To develop a more generalizable and accurate method for biological shape modeling.
  • To overcome limitations of traditional parametric modeling approaches.
  • To enable probabilistic synthesis of novel biological shape instances.

Main Methods:

  • Developed an instance-based approach utilizing a shape space built on diffeomorphic measurements.
  • Designed a recursive interpolation algorithm for probabilistic synthesis of new shape instances.
  • Applied the method to model various biological object shapes (nuclear, cell, protein) in 2D and 3D.

Main Results:

  • The instance-based method effectively models complex biological shapes.
  • The recursive interpolation algorithm successfully synthesizes new shape instances probabilistically.
  • Demonstrated generalizability across diverse biological object types and dimensions.

Conclusions:

  • The proposed instance-based shape modeling approach offers a powerful and generalizable solution for systems biology.
  • This method overcomes the limitations of traditional parametric models for complex biological shapes.
  • Enables accurate simulation and synthesis of biological shapes, advancing computational biology research.