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

Survival Tree01:19

Survival Tree

109
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
109
Modeling and Similitude01:12

Modeling and Similitude

289
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...
289
Phylogenetic Trees03:21

Phylogenetic Trees

45.5K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
45.5K
Structural Classification of Joints01:20

Structural Classification of Joints

3.5K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.5K
Light Acquisition02:16

Light Acquisition

8.5K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.5K
Typical Model Studies01:30

Typical Model Studies

380
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.
380

You might also read

Related Articles

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

Sort by
Same author

Orientational Switching as an Extra Degree of Freedom in Self-Assembled C<sub>70</sub> and Octanethiol on Au(111).

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Super-resolution multimodal spatial transcriptomics reveals an ovoid stem cell niche structuring de novo shoot regeneration.

Molecular plant·2026
Same author

Laminar patterning transcription factors orchestrate spatial metabolite partitioning in Capsicum fruit.

Nature plants·2026
Same author

Rationale for incorporating short-term endpoints in interim futility analysis of phase 3 oncology trials: a simulation study.

BMC medical research methodology·2026
Same author

Repression of EGFR by new biguanide 4C potentiated ovarian cancer to PARP inhibitors through down-regulation of BRCA2 and Rad51.

Cell death & disease·2026
Same author

Unnoticed Entry, Noticed Transmission: Epidemiological Insights into China's First clade Ib MPXV cluster.

The Journal of infectious diseases·2026
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Jul 18, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K

DeepTree: Modeling Trees With Situated Latents.

Xiaochen Zhou, Bosheng Li, Bedrich Benes

    IEEE Transactions on Visualization and Computer Graphics
    |August 23, 2023
    PubMed
    Summary
    This summary is machine-generated.

    DeepTree models tree growth by learning developmental rules with a deep neural network. This situated latent approach generates diverse tree shapes and environmental responses without manual parameter tuning.

    More Related Videos

    A Technical Perspective in Modern Tree-ring Research - How to Overcome Dendroecological and Wood Anatomical Challenges
    09:33

    A Technical Perspective in Modern Tree-ring Research - How to Overcome Dendroecological and Wood Anatomical Challenges

    Published on: March 5, 2015

    29.1K
    Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis
    06:56

    Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis

    Published on: September 22, 2023

    1.1K

    Related Experiment Videos

    Last Updated: Jul 18, 2025

    Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
    04:35

    Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

    Published on: July 3, 2020

    3.4K
    A Technical Perspective in Modern Tree-ring Research - How to Overcome Dendroecological and Wood Anatomical Challenges
    09:33

    A Technical Perspective in Modern Tree-ring Research - How to Overcome Dendroecological and Wood Anatomical Challenges

    Published on: March 5, 2015

    29.1K
    Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis
    06:56

    Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis

    Published on: September 22, 2023

    1.1K

    Area of Science:

    • Computer Science
    • Computational Biology
    • Artificial Intelligence

    Background:

    • Traditional tree modeling often relies on manually defined parameters for growth rules.
    • Existing methods struggle to capture the complexity and variability of natural tree development and environmental interactions.

    Purpose of the Study:

    • To introduce DeepTree, a novel deep learning method for modeling tree growth.
    • To develop a situated latent representation for predicting branch development based on intrinsic and extrinsic factors.
    • To enable the generation of diverse tree structures and simulate environmental responses.

    Main Methods:

    • A deep neural network pipeline was used to train a situated latent space.
    • The model locally predicts branch growth from a single node in the tree graph.
    • Iterative querying of the neural network from a root node generates the entire branching structure.

    Main Results:

    • DeepTree successfully generates a wide variety of tree shapes without intricate parameterization.
    • The situated latents effectively encode environmental responses, such as growth near obstacles.
    • Validation using established metrics showed similarity between DeepTree models and procedurally generated trees.

    Conclusions:

    • DeepTree offers a powerful, data-driven approach to realistic tree modeling.
    • The situated latent method provides a flexible framework for capturing developmental and environmental influences on tree form.
    • This approach has potential applications in areas like computer graphics, ecological simulation, and urban planning.