CPICS – Continuous Particle Imaging Classification System

CPICS underwater microscopeOur Continuous Particle Imaging and Classification
System (CPICS) is an underwater microscope that produces
unprecedented results for in-situ aquatic microscopy of
seawater, freshwater and laboratory samples. Using darkfield
illumination, the CPICS-1000-e captures high-resolution
color images, showing features as small as 10µm and as large as
several cm. Color information is key to high-accuracy
classification while also providing important physiological information
such as pigmentation due to grazing on phytoplankton. Because of its open-flow
approach to water sampling, the delicate structures of plankton and particles remain intact as do predator-prey interactions.

CPICS deployment at 60ft depth.
The CPICS-1000-e underwater microscope is our latest development, which features embedded processing and region of interest
(ROI) extraction. Stand-alone deployments on CTD Rosettes and autonomous platforms or vehicles – from large research vessels
to row boats – make CPICS-1000-e an indispensable tool for researchers and resource managers alike.

CPICS-1000-e data sheetRequest a quote

ROImanage – Image Data Management Software

Screen Shot 2018-11-02 at 6.10.47 PMThe ROImanage software product is a browser-based
application used for manually categorizing images that are
collected by the CPICS family of instruments. Users can create an
unlimited number of named categories into which they can drag
and drop images to create data sets for further analysis or for
viewing based on search criteria. ROImanage is also the base
application with which our automated classification software
module ROIclass operates.

ROImanage software data sheet

Plankton Diversity

Biodiversity on the plankton for 22 species classified automatically using deep learning. A CPICS-1000-1x was installed on an OceanCube Observing
system and deployed at Habu Research Station, Oshima Island, Toyko, Japan as part of the CREST project, Professor Hidekatsu Yamazaki, PI.
Images were transferred to WHOI in real-time and classified using the DICE Deep Learning product provided by COV. Note the decrease in
biodiversity in the fall of 2014 but not in 2015, suggesting environmental conditions are changing.Slide41