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Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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The early pioneers of microscopy opened a window into the invisible world of microorganisms. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes that leveraged nonvisible light, such as fluorescence microscopy that uses an ultraviolet light source and electron microscopy that uses short-wavelength electron beams. These advances significantly improved magnification, image resolution, and contrast. By comparison, the...

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Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
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Full-range optical pH sensor based on imaging techniques.

S Capel-Cuevas1, M P Cuéllar, I de Orbe-Payá

  • 1Department of Analytical Chemistry, University of Granada, Faculty of Sciences, Avda. Fuentenueva s/n, E-18071, Granada, Spain.

Analytica Chimica Acta
|November 2, 2010
PubMed
Summary
This summary is machine-generated.

A novel disposable sensor array uses color changes from pH indicators to accurately measure pH across the full range (0-14). This inexpensive optical method offers a quick and sensitive alternative to complex procedures.

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Area of Science:

  • Analytical Chemistry
  • Materials Science

Background:

  • Accurate pH measurement is crucial across various scientific disciplines.
  • Existing methods can be complex, expensive, or limited in range.

Purpose of the Study:

  • To develop a new, cost-effective, disposable optical sensor array for full-range pH determination (0-14).
  • To evaluate different predictive models for accurate pH sensing using colorimetric data.

Main Methods:

  • Immobilization of pH indicators in polymeric membranes to create a multi-element sensor array.
  • Utilizing a commercial scanner to capture color changes and analyzing the hue (H) component in the HSV color space.
  • Comparing Linear, Sigmoid competition, and Sigmoid surface models for pH prediction based on hue data.

Main Results:

  • The Sigmoid competition model achieved the lowest mean square error (0.0751) for pH prediction across the 0-14 range.
  • The sensor demonstrated high sensitivity, selectivity, and accuracy, validated against potentiometric methods.
  • The color-based sensor provides robust and precise pH measurements.

Conclusions:

  • The developed disposable optical sensor array offers a simple, rapid, and inexpensive solution for broad pH sensing.
  • This colorimetric approach provides comparable results to more complex optical sensing techniques.
  • The method is suitable for various applications requiring accurate full-range pH monitoring.