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Introduction to Scalers01:21

Introduction to Scalers

Many familiar physical quantities can be specified completely by giving a single number and the appropriate unit. For example, "a class period lasts 50 min," or "the gas tank in my car holds 65 L," or "the distance between the two posts is 100 m." A physical quantity that can be specified completely in this manner is called a scalar quantity. The word "scalar" is a synonym for "number." Time, mass, distance, length, volume, temperature, and energy are some examples of scalar quantities.
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Upstream processing represents a critical phase in biomanufacturing, wherein biological systems such as microorganisms, mammalian cells, or insect cells are cultivated to produce therapeutic proteins, vaccines, enzymes, or other biologically derived products. This phase encompasses all steps from the selection and genetic manipulation of the production organism to the cultivation of cells in bioreactors under tightly controlled environmental conditions.Host Selection and Genetic OptimizationThe...
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Related Experiment Video

Updated: Jul 5, 2026

Patterning via Optical Saturable Transitions - Fabrication and Characterization
08:19

Patterning via Optical Saturable Transitions - Fabrication and Characterization

Published on: December 11, 2014

Introduction to post-processing techniques.

Filip Jiru1

  • 1MR Unit, Department of Diagnostic and Interventional Radiology, Institute for Clinical and Experimental Medicine, Videnska 1958/9, 140 21 Prague, Czech Republic.

European Journal of Radiology
|April 26, 2008
PubMed
Summary
This summary is machine-generated.

This review introduces post-processing techniques to improve in vivo MR spectroscopy data quality. These methods enhance signal-to-noise ratio, crucial for analyzing low metabolite concentrations in (1)H MR spectroscopy.

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Last Updated: Jul 5, 2026

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Area of Science:

  • Biomedical Engineering
  • Magnetic Resonance Imaging
  • Spectroscopy

Background:

  • In vivo MR spectroscopy (MRS) data quality is often limited by low metabolite concentrations and short acquisition times.
  • This results in a low signal-to-noise ratio (SNR), hindering accurate analysis.
  • Post-processing techniques offer a solution to enhance the acquired spectral data.

Purpose of the Study:

  • To provide an overview of essential post-processing techniques for (1)H MR spectroscopy.
  • To explain the fundamental concepts of Free Induction Decay (FID) and its relationship to the MR spectrum.
  • To demonstrate practical applications of these enhancement methods.

Main Methods:

  • Introduction to FID and spectrum principles.
  • Explanation of eddy current correction.
  • Description of water signal removal.
  • Discussion of signal filtering strategies.
  • Overview of zero filling, phase correction, and baseline correction techniques.

Main Results:

  • Post-processing significantly improves SNR in (1)H MRS data.
  • Techniques like eddy current correction and water suppression enhance spectral clarity.
  • Phase and baseline correction refine spectral appearance for better metabolite identification.
  • Zero filling can improve spectral resolution.

Conclusions:

  • Post-processing is vital for overcoming limitations in in vivo (1)H MRS.
  • These techniques collectively enhance data quality, enabling more reliable metabolite quantification.
  • Understanding these methods is key for researchers utilizing MRS.