Computational Visual Stress Level Analysis of Calcareous Algae Exposed to Sedimentation.

This paper presents a machine learning based approach for analyses of photos collected from laboratory experiments conducted to assess the potential impact of water-based drill cuttings on deep-water rhodolith-forming calcareous algae. This pilot study uses imaging technology to quantify and monitor...

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Bibliographic Details
Main Authors: Jonas Osterloff, Ingunn Nilssen, Ingvar Eide, Marcia Abreu de Oliveira Figueiredo, Frederico Tapajós de Souza Tâmega, Tim W Nattkemper
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4902238?pdf=render