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

Genetic Variation01:25

Genetic Variation

339
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
339
Genetic Lingo01:11

Genetic Lingo

103.4K
Overview
103.4K
Genomic Imprinting and Inheritance02:30

Genomic Imprinting and Inheritance

34.8K
Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
34.8K
Genetic Material01:20

Genetic Material

1.9K
Within the human body, a complex and detailed system of trillions of cells works in unison to sustain life. Each cell houses a nucleus, which contains 46 chromosomes divided into 23 pairs. Chromosomes are highly coiled structures made of the genetic material DNA. These chromosomes are essential carriers of genetic information, with half inherited from the mother through her egg and the other half from the father's sperm, combining to create the unique genetic makeup of an individual.
1.9K
Combinatorial Gene Control02:33

Combinatorial Gene Control

8.4K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
8.4K

You might also read

Related Articles

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

Sort by
Same author

Lower body parkinsonism: rethinking MRI planimetry.

Parkinsonism & related disorders·2026
Same author

Multiscale RGB-Guided Fusion for Hyperspectral Image Super-Resolution.

Journal of imaging·2026
Same author

Redefining text-to-SQL metrics by incorporating semantic and structural similarity.

Scientific reports·2025
Same author

Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector.

Scientific reports·2025
Same author

Ink classification in historical documents using hyperspectral imaging and machine learning methods.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2025
Same author

Deep learning-based object detection algorithms in medical imaging: Systematic review.

Heliyon·2025
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: Aug 3, 2025

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

8.2K

Full-Reference Image Quality Expression via Genetic Programming.

Illya Bakurov, Marco Buzzelli, Raimondo Schettini

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 7, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel framework using genetic programming to create new image quality measures similar to the Structural Similarity Index Measure (SSIM). These optimized measures show improved performance in predicting human perception of image quality.

    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

    11.9K
    Robotics and Dynamic Image Analysis for Studies of Gene Expression in Plant Tissues
    11:26

    Robotics and Dynamic Image Analysis for Studies of Gene Expression in Plant Tissues

    Published on: May 5, 2010

    12.7K

    Related Experiment Videos

    Last Updated: Aug 3, 2025

    Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
    09:23

    Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

    Published on: August 16, 2017

    8.2K
    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

    11.9K
    Robotics and Dynamic Image Analysis for Studies of Gene Expression in Plant Tissues
    11:26

    Robotics and Dynamic Image Analysis for Studies of Gene Expression in Plant Tissues

    Published on: May 5, 2010

    12.7K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Computational Intelligence

    Background:

    • Full-reference image quality measures are essential for digital data management tasks like retrieval, compression, and copyright protection.
    • Existing measures like the Structural Similarity Index Measure (SSIM) are effective but can be improved.
    • Developing accurate image quality assessment (IQA) methods that mimic human perception is a key challenge.

    Purpose of the Study:

    • To develop a framework for automatically generating SSIM-like image quality measures using genetic programming.
    • To optimize these measures for better correlation with human mean opinion scores (MOS).
    • To explore the trade-off between measure complexity and performance.

    Main Methods:

    • Utilized genetic programming to evolve new image quality assessment algorithms.
    • Defined terminal sets based on structural similarity concepts at various abstraction levels.
    • Implemented a two-stage genetic optimization process incorporating hoist mutation to manage solution complexity.
    • Validated optimized measures across multiple datasets to ensure generalizability.

    Main Results:

    • The proposed framework successfully generated novel SSIM-like image quality measures.
    • Optimized measures demonstrated superior performance compared to existing SSIM variants in predicting human MOS.
    • Performance was evaluated using cross-dataset validation, ensuring robustness.
    • Tuning measures to specific datasets yielded competitive or superior results compared to more complex IQA methods.

    Conclusions:

    • Genetic programming provides an effective approach for developing advanced image quality assessment metrics.
    • The developed SSIM-like measures offer a promising balance of simplicity and high performance.
    • These findings contribute to more accurate and efficient digital image management systems.