posted on 2024-07-19, 20:07authored byBenjamin Gincley, Farhan Khan, Elaine Hartnett, Autumn Fisher, Ameet J. Pinto
Manual microscopy
is the gold standard for phytoplankton
monitoring
in diverse engineered and natural environments. However, it is both
labor-intensive and requires specialized training for accuracy and
consistency, and therefore difficult to implement on a routine basis
without significant time investment. Automation can reduce this burden
by simplifying the measurement to a single indicator (e.g., chlorophyll
fluorescence) measurable by a probe, or by processing samples on an
automated cytometer for more granular information. The cost of commercially
available flow imaging cytometers, however, poses a steep financial
barrier to adoption. To overcome these labor and cost barriers, we
developed ARTiMiS: the Autonomous Real-Time Microbial ‘Scope.
The ARTiMiS is a low-cost flow imaging microscopy-based platform with
onboard software capable of providing taxonomically resolved quantitation
of phytoplankton communities in real-time. ARTiMiS leverages novel
multimodal imaging and onboard machine learning-based data processing
that is currently optimized for a curated and expandable database
of industrially relevant microalgae. We demonstrate its operational
limits, performance in identification of laboratory-cultivated microalgae,
and potential for continuous monitoring of complex microalgal communities
in full-scale industrial cultivation systems.