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

Size and Structure of Viral Genomes01:26

Size and Structure of Viral Genomes

786
Viral genomes exhibit remarkable diversity in size, structure, and composition, influencing their replication strategies and interactions with host cells. These genomes consist of either DNA or RNA and may be linear or circular. Additionally, they can be single-stranded or double-stranded, with each configuration affecting how the virus propagates within a host. RNA viruses, for instance, generally have smaller genomes than DNA viruses, a factor that contributes to their high mutation rates and...
786
Vesicular Tubular Clusters01:45

Vesicular Tubular Clusters

3.2K
After budding out from the ER membrane, some COPII vesicles lose their coat and fuse with one another to form larger vesicles and interconnected tubules called vesicular tubular clusters or VTCs. These clusters constitute a compartment at the ER-Golgi interface known as ERGIC (Endoplasmic Reticulum Golgi Intermediate Compartment). The ERGIC is a mobile membrane-bound cargo transport system that sorts proteins secreted from ER and delivers them to the Golgi.
With the help of motor proteins such...
3.2K
Cell Size01:22

Cell Size

127.4K
Cell sizes vary widely among and within organisms. Bacterial cells range between 1-10 micrometers (μm)and are considerably smaller than most eukaryotic cells. The smallest bacteria are 0.1 μm in diameter—about a thousand times smaller than eukaryotic cells, which typically range from 10-100 μm.
Surface Area
Cells can take in nutrients and water via diffusion through the plasma membrane itself or through specific channels in the membrane. The area of the membrane surrounding...
127.4K
Tubular Reabsorption and Secretion01:28

Tubular Reabsorption and Secretion

6.7K
Tubular secretion and reabsorption are two critical processes in the nephron tubule of the kidneys. When the fluid filtered from the glomerulus enters the proximal convoluted tubule, it is referred to as filtrate, and its composition changes due to tubular reabsorption and secretion.
Tubular reabsorption is a selective process that starts when the filtrate enters the proximal tubules. It involves substances traveling through the transcellular route (through the tubule cell and peritubular...
6.7K
Renal Drug Excretion: Tubular Reabsorption01:25

Renal Drug Excretion: Tubular Reabsorption

850
Tubular reabsorption, a process occurring post-glomerular filtration of drugs in the renal tubule, is a critical determinant of drug half-life. During the process of renal excretion, as the glomerular filtrate progresses to the distal convoluted tubule (DCT), drugs that are highly permeable, lipophilic, and nonionized undergo passive reabsorption from the tubular fluid into the surrounding peritubular capillaries. This reabsorption process restricts their elimination through the kidneys. This...
850
Renal Drug Excretion: Tubular Secretion01:28

Renal Drug Excretion: Tubular Secretion

880
Active tubular secretion is a robust, energy-demanding process that utilizes carrier systems to transport drugs into renal tubules. The active renal secretion systems include the organic anion transporter (OAT) for weak acids and the organic cation transporter (OCT) for weak bases. Structurally similar drugs can compete for the same transporter, potentially leading to drug accumulation and toxicity. However, this principle can be exploited therapeutically. One example is probenecid (Probalan),...
880

You might also read

Related Articles

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

Sort by
Same author

PLM-Net: Perception Latency Mitigation Network for Vision-Based Lateral Control of Autonomous Vehicles.

Sensors (Basel, Switzerland)·2026
Same author

Comparative Study on Simulated Outdoor Navigation for Agricultural Robots.

Sensors (Basel, Switzerland)·2024
Same author

Comparative Study of Markerless Vision-Based Gait Analyses for Person Re-Identification.

Sensors (Basel, Switzerland)·2021
Same author

Fast submicrometer-scale imaging of whole zebrafish using the knife-edge scanning microscope.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2017
Same author

Predictable internal brain dynamics in EEG and its relation to conscious states.

Frontiers in neurorobotics·2014
Same author

Multiscale exploration of mouse brain microstructures using the knife-edge scanning microscope brain atlas.

Frontiers in neuroinformatics·2012

Related Experiment Video

Updated: Feb 2, 2026

Core/shell Printing Scaffolds For Tissue Engineering Of Tubular Structures
05:52

Core/shell Printing Scaffolds For Tissue Engineering Of Tubular Structures

Published on: September 27, 2019

9.9K

Tracing Tubular Structures from Teravoxel-Sized Microscope Images.

Shruthi Raghavan, Jaerock Kwon

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |November 17, 2018
    PubMed
    Summary

    Processing large teravoxel microscopy datasets for neural and vascular tracing is now feasible. Our Divide Conquer and Combine (DCC) method efficiently handles massive data, making processed information accessible to researchers.

    More Related Videos

    Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
    08:56

    Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

    Published on: January 13, 2023

    2.9K
    A Tissue Clearing Method for Neuronal Imaging from Mesoscopic to Microscopic Scales
    07:20

    A Tissue Clearing Method for Neuronal Imaging from Mesoscopic to Microscopic Scales

    Published on: May 10, 2022

    3.5K

    Related Experiment Videos

    Last Updated: Feb 2, 2026

    Core/shell Printing Scaffolds For Tissue Engineering Of Tubular Structures
    05:52

    Core/shell Printing Scaffolds For Tissue Engineering Of Tubular Structures

    Published on: September 27, 2019

    9.9K
    Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
    08:56

    Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

    Published on: January 13, 2023

    2.9K
    A Tissue Clearing Method for Neuronal Imaging from Mesoscopic to Microscopic Scales
    07:20

    A Tissue Clearing Method for Neuronal Imaging from Mesoscopic to Microscopic Scales

    Published on: May 10, 2022

    3.5K

    Area of Science:

    • Neuroscience
    • Biomedical Imaging
    • Computational Biology

    Background:

    • Analyzing teravoxel-scale light microscopy data for neural and vascular tracing presents significant computational challenges.
    • Existing methods struggle with memory limitations and processing inefficiencies when handling such large datasets.

    Purpose of the Study:

    • To develop an efficient and scalable method for tracing vasculature and neurites in teravoxel-sized microscopy datasets.
    • To overcome the limitations of processing large-scale biological data for research accessibility.

    Main Methods:

    • Implementation of a Divide Conquer and Combine (DCC) strategy to process data in smaller, manageable sub-volumes.
    • Development of a robust algorithm for stitching traced data from sub-volumes, addressing edge tracing and structural complexities.
    • Validation using whole mouse brain vasculature data acquired via Knife-Edge Scanning Microscopy (KESM).

    Main Results:

    • The DCC method successfully enables tracing in teravoxel datasets, overcoming memory and processing constraints.
    • The stitching algorithm demonstrates robustness in handling sub-optimal tracing at edges, dense structures, and varying trace termination depths.
    • Validated results confirm the efficacy of the approach on a comprehensive mouse brain vasculature dataset.

    Conclusions:

    • The proposed Divide Conquer and Combine (DCC) method offers a scalable solution for analyzing large-scale microscopy data.
    • This approach significantly improves the accessibility of processed neural and vascular data for the research community.
    • The KESM-validated method paves the way for advanced studies in neuroanatomy and vascular biology.