Arthrospira Maxima

Arthrospira maxima is a filamentous, photosynthetic cyanobacterium, often called Spirulina maxima, that grows in warm, alkaline waters and contributes to aquatic carbon cycling. Through oxygenic photosynthesis, its cells use light energy to convert carbon dioxide and water into biomass and oxygen; alkaline conditions and abundant nutrients support rapid growth while its pigments capture light. These characteristics make A. maxima relevant to environmental research on carbon uptake, nutrient recovery, wastewater treatment, and sustainable biomass production. Studying its growth responses also helps researchers evaluate how cultivation conditions affect productivity, resource use, and the potential integration of cyanobacterial systems into circular environmental technologies.

Arthrospira Maxima - Related Videos

Research

JoVE Journal - Medicine
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Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

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2025

This protocol offers a guide to implement infrared marker tracking for free-moving phantoms (e.g., organs) and holographic visualization using Augmented Reality. Additionally, it outlines a setup for preclinical validation of holographic navigation systems using electromagnetic tracking on free-moving phantoms.

Research

JoVE Journal - Biology

Synthesis of Wavelength-shifting DNA Hybridization Probes by Using Photostable Cyanine Dyes

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Cited by 5 •

2016

Photostable cyanine dyes are attached to oligonucleotides to monitor hybridization by energy transfer.

Glycogen Branching Assay to Measure the Degree of Glycogen Branching

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2025

In this video, we describe a qualitative spectrophotometric assay to determine the extent of branching in a glycogen sample with an uncharacterized structure. Comparing the absorbance maxima of the uncharacterized sample with that of polysaccharides with known branched structures indicates the presence of branching in the uncharacterized sample.

Research

JoVE Journal - Neuroscience
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Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology

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Cited by 11 •

2017

Two image analysis algorithms, "Drosophila NMJ Morphometrics" and "Drosophila NMJ Bouton Morphometrics" were created, to automatically quantify nine morphological features of the Drosophila neuromuscular junction (NMJ).

Research

JoVE Journal - Genetics
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Characterizing Mutational Load and Clonal Composition of Human Blood

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Cited by 7 •

2019

Somatic mutation patterns in cells reflect previous mutagenic exposure and can reveal developmental lineage relationships. Presented here is a methodology to catalogue and analyze somatic mutations in individual hematopoietic stem and progenitor cells.

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