Microscopic Image Dataset of Verrucodesmus verrucosus for Microalgae Detection and Quantification

Published: 7 April 2026| Version 1 | DOI: 10.17632/j7bm5fbz9m.1
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Description

The dataset includes microscopic images documenting the growth of Verrucodesmus verrucosus in a bubble column photobioreactor under controlled conditions in a smart systems laboratory at TecNM/Instituto Tecnológico de Tuxtla Gutiérrez, Mexico. A total of 368 images with varying algal densities and operating environments are included to improve training robustness. Each image includes its corresponding label file to enable automated algal counting and biomass growth modeling. Labeling has been validated with YOLOv8 and YOLOv11; however, the dataset is designed to be compatible with any neural network platform.

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Steps to reproduce

Verrucodesmus verrucosus was grown in a bubble column photobioreactor (3 L) under an intensity of 2000 Lux, with a photoperiod of 12 h light / 12 h dark and a controlled temperature of 25–29 °C. The reactor consisted of a glass cylinder (30 cm high, 12.5 cm diameter) with a PLA lid perforated for air inlet, an HP sensor, a temperature sensor, a TDS sensor, and oxygen sampling and outlet. Air was injected through a diffuser. Illumination was provided by blue LED strips arranged in a spiral inside the reactor, from which samples were taken every 24 h for 30 days. Microscope images were obtained from this sampling.

Institutions

Categories

Artificial Intelligence, Image Processing, Object Detection, Image Classification, Algal Cultivation, Algal Photobioreactor Design

Funders

  • Secretaría de Ciencia, Humanidades, Tecnología e Innovación
    Grant ID: CVU 550400

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