Algal biomusic generation

Technologies which can generate music with limited human intervention are a longstanding area of investigation for musicians and musicologists, with particular interest in how these technologies can be harnessed for ecocentric forms of musical expression. To date, most of these efforts have focused on the use of computational algorithms to compose music. Biomusic–music created using biological data–provides an alternative paradigm for the creation of non-human music which can be truly ecocentric. Photosynthetic organisms in particular offer the ability to create music which responds to changes in their environment, such as changes in light conditions and temperature. Herein, we propose how the ubiquitous bioelectrical activities of algae (which are correlated with their photosynthetic activity) can be utilized for biomusic generation. In addition to describing the scientific principles underpinning these algal biomusic systems, we also provide tutorial descriptions of the bioelectrochemical devices and signal processing pipelines which can be used to engineer them. In addition, we provide an overview of the many musical applications that can be accessed with this technology, highlighting a few pioneering examples of algal biomusic generation.

Authors

Institutions

Publication Details

Journal
Applied Phycology
Published
2024-12-10
DOI
https://doi.org/10.1080/26388081.2024.2434476
Primary Topic
Diatoms and Algae Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Algal biomusic generation

Paolo Bombelli, Joshua M. Lawrence, Christopher J. Howe, Alberto Scarampi et al.
Applied Phycology
Diatoms and Algae Research
article

Algal biomusic generation

Paolo Bombelli, Joshua M. Lawrence, Christopher J. Howe, Alberto Scarampi, Emma Albertini, Lucia B. Giron, Lena Kuzmich
article en

Abstract

Technologies which can generate music with limited human intervention are a longstanding area of investigation for musicians and musicologists, with particular interest in how these technologies can be harnessed for ecocentric forms of musical expression. To date, most of these efforts have focused on the use of computational algorithms to compose music. Biomusic–music created using biological data–provides an alternative paradigm for the creation of non-human music which can be truly ecocentric. Photosynthetic organisms in particular offer the ability to create music which responds to changes in their environment, such as changes in light conditions and temperature. Herein, we propose how the ubiquitous bioelectrical activities of algae (which are correlated with their photosynthetic activity) can be utilized for biomusic generation. In addition to describing the scientific principles underpinning these algal biomusic systems, we also provide tutorial descriptions of the bioelectrochemical devices and signal processing pipelines which can be used to engineer them. In addition, we provide an overview of the many musical applications that can be accessed with this technology, highlighting a few pioneering examples of algal biomusic generation.

Applied PhycologyVol. 6(1)
University of Cambridge (GB), University of Warwick (GB), Imperial College London (GB), Vrije Universiteit Amsterdam (NL)
Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 89%
Diatoms and Algae Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Algal biomusic generation — Paolo Bombelli, Joshua M. Lawrence, et al. · Applied Phycology (2024) | TGRS Research Map | TGRS