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Related Concept Videos

Quantitative Analysis01:12

Quantitative Analysis

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Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
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Isomerism in Complexes
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Lipids include a diverse group of compounds that are largely nonpolar in nature. This is because they are hydrocarbons that include mostly nonpolar carbon-carbon or carbon-hydrogen bonds. Non-polar molecules are hydrophobic (“water fearing”), or insoluble in water. Lipids perform many different functions in a cell. Cells store energy for long-term use in the form of fats. Lipids also provide insulation from the environment for plants and animals. For example, they help keep aquatic...
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Viral Structure00:56

Viral Structure

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Viruses are extraordinarily diverse in shape and size, but they all have several structural features in common. All viruses have a core that contains a DNA- or RNA-based genome. The core is surrounded by a protective coat of proteins called the capsid. The capsid is composed of subunits called capsomeres. The capsid and genome-containing core are together known as the nucleocapsid.
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Correlative Super-resolution and Electron Microscopy to Resolve Protein Localization in Zebrafish Retina
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Quantitative analysis of super-resolved structures using ASAP.

John S H Danial1,2,3, Ana J Garcia-Saez4,5

  • 1Interfaculty Institute of Biochemistry, University of Tübingen, Tübingen, Germany. js2494@cam.ac.uk.

Nature Methods
|July 3, 2019
PubMed
Summary
This summary is machine-generated.

We developed ASAP, an automated structures analysis program, for rapid and quantitative analysis of super-resolution microscopy images. This tool efficiently detects, classifies, and quantifies cellular structures, overcoming current limitations.

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Area of Science:

  • Cellular Biology
  • Microscopy
  • Bioinformatics

Background:

  • Super-resolution microscopy provides high-detail cellular imaging.
  • Quantitative analysis of these images is currently challenging.
  • Existing tools lack efficiency and automation for complex datasets.

Purpose of the Study:

  • To develop a novel software for automated analysis of super-resolution microscopy images.
  • To enable rapid and quantitative detection, classification, and quantification of cellular structures.
  • To address the limitations of current image analysis tools in the field.

Main Methods:

  • Development of the Automated Structures Analysis Program (ASAP).
  • Validation of ASAP using ground truth datasets.
  • Application of ASAP to diverse super-resolved image types, including nucleoporins, TORC1 complexes, endocytic vesicles, and Bax pores.

Main Results:

  • ASAP enables rapid and automated detection of super-resolved structures.
  • The program accurately classifies and quantifies these structures.
  • Successful validation across multiple biological contexts demonstrates broad applicability.

Conclusions:

  • ASAP provides an efficient solution for analyzing super-resolution microscopy data.
  • The software facilitates high-throughput and quantitative biological insights.
  • ASAP is a versatile tool for researchers studying cellular ultrastructure.