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Imaging Biological Samples with Optical Microscopy01:18

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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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Updated: Nov 15, 2025

Cultivation of Green Microalgae in Bubble Column Photobioreactors and an Assay for Neutral Lipids
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Optical Camera Communication as an Enabling Technology for Microalgae Cultivation.

Cristo Jurado-Verdu1, Victor Guerra1, Vicente Matus1

  • 1Institute for Technological Development and Innovation in Communications (IDeTIC), Universidad de Las Palmas de Gran Canaria (ULPGC), 35017 Las Palmas de Gran Canaria, Canary Islands, Spain.

Sensors (Basel, Switzerland)
|March 6, 2021
PubMed
Summary
This summary is machine-generated.

Optical Camera Communication (OCC) optimizes microalgae production by using artificial lighting to transmit data and sense biomass concentration simultaneously. This technology enables efficient monitoring and control in photobioreactors.

Keywords:
Agriculture 4.0artificial lightinglight managementmicroalgae cultivationoptical camera communicationssmart farmingvisible light communications

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Area of Science:

  • Biotechnology
  • Optical Engineering
  • Agricultural Technology

Background:

  • Microalgae cultivation requires efficient monitoring of biomass concentration and optimized lighting conditions.
  • Existing monitoring systems can be intrusive or lack real-time data acquisition.
  • Optical Camera Communication (OCC) offers a novel approach for simultaneous data transmission and sensing.

Purpose of the Study:

  • To propose and validate a proof-of-concept OCC system integrated into an artificial lighting photobioreactor for microalgae production.
  • To simultaneously decode signals and sense biomass concentration using image processing.
  • To analyze the theoretical model, data rate, and spatial requirements for a production-scale facility.

Main Methods:

  • Development of an artificial lighting photobioreactor prototype.
  • Implementation of on-off keying (OOK) signal transmission to a rolling-shutter camera.
  • Utilization of image processing techniques for signal decoding and biomass estimation.
  • Theoretical modeling of the communication channel and performance analysis.
  • Case study on node arrangements and experimental evaluation of radiance and SNR.

Main Results:

  • Simultaneous signal decoding and biomass sensing were achieved using image processing.
  • Lambertian-like emission patterns were affected by microalgae concentration, reducing emission angles.
  • Signal-to-Noise Ratio (SNR) varied significantly across the illuminated surface, with differences up to 20 dB.
  • Microalgae species (e.g., Arthrospira platensis, Rhodosorus marinus) impact light scattering and attenuation, influencing system performance.

Conclusions:

  • The proposed OCC system demonstrates feasibility for optimizing photosynthetic efficiency and enabling simultaneous data transmission and biomass sensing in microalgae production.
  • Microalgae concentration and species-specific optical properties significantly affect communication channel performance.
  • Further consideration of light dispersion, scattering, and attenuation is crucial for designing robust OCC systems in microalgae cultivation.