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Related Concept Videos

Overview of Microscopy Techniques01:22

Overview of Microscopy Techniques

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...
Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...
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Microbial Growth Measurement: Direct Methods

Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...
Methods to Assess Microbial Populations01:30

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Assessing microbial populations is crucial for understanding microbial roles in health, ecology, and industry. Various complementary techniques—both culture-based and molecular—enable detailed analysis of microbial abundance, diversity, and function.Viable Plate CountThe viable plate count is a traditional culture-based method used to estimate the number of living microbes in a sample. After serial dilution, the sample is spread onto nutrient agar plates. Each viable cell forms a visible...
Microbial Biosensors01:17

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Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
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Related Experiment Video

Updated: May 12, 2026

Quantitative Live Cell Fluorescence-microscopy Analysis of Fission Yeast
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MicroVi: A Cost-Effective Microscopy Solution for Yeast Cell Detection and Count in Wine Value Chain.

Ismael Benito-Altamirano1,2, Sergio Moreno1, David M Vaz-Romero1

  • 1Department of Electronic and Biomedical Engineering, Universitat de Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain.

Biosensors
|January 24, 2025
PubMed
Summary

A new, cost-effective chip-sized microscope, MicroVi, accurately detects and counts yeast cells in wine. This automated system offers reliable microbial assessment for improved wine quality control.

Keywords:
ab-on-a-chipchip-sized microscopyholographywine qualityyeast cell count

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Area of Science:

  • Oenology and Viticulture
  • Microbiology
  • Optical Engineering

Background:

  • The wine industry seeks methods to enhance wine quality throughout production.
  • Accurate microbial assessment is crucial for wine quality control.

Purpose of the Study:

  • To introduce MicroVi, a novel, cost-effective, chip-sized microscopy solution for detecting and counting yeast cells in wine.
  • To demonstrate MicroVi's capability to perform microbial analysis comparable to traditional optical microscopy but with a smaller footprint and automated features.

Main Methods:

  • Utilized computer vision pipelines, including SIFT feature extraction, image composition for enhanced resolution and scanning, holographic reconstruction, and Hough transform for particle counting.
  • Achieved a resolution of 2.19 µm, validated using the USAF Resolving Power Test Target 1951.
  • Calibrated cell counts for *Saccharomyces cerevisiae* against a standard optical setup, achieving linear results from 0.5 to 50 million cells/mL.

Main Results:

  • MicroVi demonstrated comparable performance to traditional optical microscopy for sample measurement.
  • The system achieved a resolution of 2.19 µm, capable of resolving fine details.
  • Linear calibration was established for *Saccharomyces cerevisiae* cell counts across a significant concentration range.
  • Qualitative resolution of other microorganisms, including *Brettanomyces bruxellensis* and *Lactobacillus plantarum*, confirmed system reliability.

Conclusions:

  • MicroVi offers a reliable, automated, and cost-effective solution for microbial assessment in the wine industry.
  • The chip-sized microscope provides high resolution and accurate cell counting, supporting wine quality improvement.
  • The technology's versatility extends to identifying various yeast and bacterial species, enhancing its utility in enology.