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Manuscript Chosen as Editor’s Pick

A recent journal article authored by Israeli colleagues with former lab member Eric Orenstien and Jules Jaffe has been selected as an Editor’s Pick by the Journal of the Optical Society of America – A! This is used to denote articles of high quality that are representative of the current status of the field. The article can read here.

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Graduate Student Wins UCSD Library’s Art of Science Contest

The Jaffe Lab’s very own Pichaya Lertvilai won the Art of Science contest! The winning submisison was titled “Drifting World through the Scripps Plankton Camera”, and is a collage of different plankton imaged right here at the Scripps Pier by our Scripps Plankton Cameras. The species depicted in the image include copepods, jellyfish, chaetognaths, and many others! Congratulations Pichaya!

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Graduate Student Wins Runnerup for Nature Photo

Pichaya Lertvilai, a doctoral candidate in the Jaffe Lab, recently won overall runnerup from the British Ecological Society’s nature photography competition. The photo was taken here at Scripps, and shows multiple paralarvae of the California two-spot octopus, Octopus bimaculatus, hatching from their egg sacs. You can read the article here. Congratulations Pichaya!

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SPCs Undergo Annual Overhaul

Early in November the SPCs were brought up to the lab for annual maintenance. They were given a thorough cleaning, and various components were replaced. After some delay due to extra repairs and poor diving conditions, the SPCs were placed back on the pier Friday morning. They are now back online!

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M-AUEs Featured in Recent Seminar

Dr. Jessica Garwood, a recent Scripps graduate and close collaborator with the Jaffe Laboratory, recently gave a seminar on her thesis work with our own Mini-AUEs. Check it out here!

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Paper on the Scripps Plankton Camera published in LOM

A paper all about our very own Scripps Plankton Camera (SPC) System has just been published in Limnology and Oceanography Methods, and is now available online! This paper describes the development of all 3 components of the SPC: the underwater in-situ microscope itself, the server and database system for storing and managing the vast amounts of data collected (over 1 bilion images and counting!), and the web-based interface for browsing and annotating the data. It then details several case studies in using machine learning for automated classification of the images collected.

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Paper on Prince William Sound SPC in ICES Journal of Marine Science

The latest issue of ICES Journal of Marine Science, Applications of Machine Learning and Artificial Intelligence in Marine Science, includes an article on the Prince William Sound SPC. A modified SPC was mounted to a profiling mooring by Rob Campbell of the Prince William Sound Science Center. A subset of the millions of images collected was manually labeled and used to train a hybrid convolutional neural network classifier. The final classifier accuracy was at least 80% for each class!

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