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Related Concept Videos

Methods for Studying Drug Absorption: In situ01:09

Methods for Studying Drug Absorption: In situ

588
In situ experiments, such as the Doluisio method and Single-Pass Perfusion technique, provide critical insights into drug uptake by simulating in vivo conditions for drug absorption.
The Doluisio method involves perfusing a prepared segment of a rat's small intestine with a solution of radiolabeled drug and a non-absorbable marker. This helps to differentiate between absorbed and non-absorbed drug concentrations. The intestinal segment is connected at both ends using tubing and syringes,...
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In-situ Hybridization02:31

In-situ Hybridization

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In situ hybridization (ISH) is a technique used to detect and localize specific DNA or RNA molecules in cells, tissue, or tissue sections using a labeled probe. The technique was first used in 1969 for the investigation of nucleic acids. It is currently an essential tool in scientific research and clinical settings, especially for diagnostic purposes.
Types of probes and labels
A probe is a complementary strand of DNA or RNA that binds to corresponding nucleotide sequences in a cell. Many...
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Related Experiment Video

Updated: Jan 4, 2026

Visualization of Organelles In Situ by Cryo-STEM Tomography
08:37

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In Situ Visualization for Computational Science.

Hank Childs, Janine Bennett, Christoph Garth

    IEEE Computer Graphics and Applications
    |November 13, 2019
    PubMed
    Summary
    This summary is machine-generated.

    In situ visualization offers advanced computational science insights but faces challenges. This article details open research issues in effective in situ processing identified at a recent seminar.

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    Area of Science:

    • Computational Science
    • Data Visualization
    • High-Performance Computing

    Background:

    • In situ visualization is crucial for addressing limitations in high-performance computing.
    • It enables enhanced spatio-temporal resolution in scientific data analysis.
    • Effective in situ processing remains an area with significant open research questions.

    Purpose of the Study:

    • To identify and describe the key challenges in effective in situ processing.
    • To summarize the findings from a recent Dagstuhl Seminar focused on in situ visualization.
    • To highlight areas requiring further research and development in the field.

    Main Methods:

    • The study is based on discussions and findings from a Dagstuhl Seminar.
    • It involves identifying and categorizing open research issues in in situ processing.
    • The article synthesizes expert perspectives on the topic.

    Main Results:

    • Several critical research challenges in in situ visualization and processing were identified.
    • Limitations of current high-performance computing architectures pose significant hurdles.
    • There is a need for advancements in algorithms, software, and hardware for effective in situ analysis.

    Conclusions:

    • Effective in situ processing is vital for advancing computational science.
    • Addressing the identified challenges is essential for future research and development.
    • Further collaborative efforts are needed to overcome the existing research gaps.