The Prince William Sound Plankton Camera: a profiling in situ observatory of plankton and particulates

Abstract A novel plankton imager was developed and deployed aboard a profiling mooring in Prince William Sound in 2016–2018. The imager consisted of a 12-MP camera and a 0.137× telecentric lens, along with darkfield illumination produced by an in-line ring/condenser lens system. Just under 2.5 × 106...

Full description

Saved in:
Bibliographic Details
Published inICES journal of marine science Vol. 77; no. 4; pp. 1440 - 1455
Main Authors Campbell, R W, Roberts, P L, Jaffe, J
Format Journal Article
LanguageEnglish
Published 01.07.2020
Online AccessGet full text

Cover

More Information
Summary:Abstract A novel plankton imager was developed and deployed aboard a profiling mooring in Prince William Sound in 2016–2018. The imager consisted of a 12-MP camera and a 0.137× telecentric lens, along with darkfield illumination produced by an in-line ring/condenser lens system. Just under 2.5 × 106 images were collected during 3 years of deployments. A subset of almost 2 × 104 images was manually identified into 43 unique classes, and a hybrid convolutional neural network classifier was developed and trained to identify the images. Classification accuracy varied among the different classes, and applying thresholds to the output of the neural network (interpretable as probabilities or classifier confidence), improved classification accuracy in non-ambiguous groups to between 80% and 100%.
ISSN:1095-9289
1095-9289
DOI:10.1093/icesjms/fsaa029