Abstract: An example system for bacteria, algae and/or bacteria detection is provided. The system includes a database configured to electronically store data. The data includes a detection model trained based on historical bacteria, algae and/or cyanobacteria identification and cell count data. The system includes a processing device in communication with the database. The processing device is configured to receive as input an electronic image of a water sample, electronically detect bacteria, algae and/or cyanobacteria in the electronic image, execute the detection model to identify an organism responsible for the detected bacteria, algae and/or cyanobacteria, and estimate a cell count of the responsible organism based on the electronic image.

Abstract: The present disclosure pertains to a system configured to prepare and use prediction models for controlling contaminants of a liquid. Some embodiments may: sense, via a sensor, a magnified image of a sample of the liquid; identify at least one shape in the image; determine a relative predominance of microscopic life forms within at least a portion of the image; and generate a report indicating any required corrective action based on the identification and the determination.

Abstract: The present disclosure pertains to a system configured to prepare and use prediction models for controlling contaminants of a liquid. Some embodiments may: sense, via a sensor, a magnified image of a sample of the liquid; identify at least one shape in the image; determine a relative predominance of microscopic life forms within at least a portion of the image; and generate a report indicating any required corrective action based on the identification and the determination.

Abstract: The present disclosure pertains to a system configured to prepare and use prediction models for controlling contaminants of a liquid. Some embodiments may: sense, via a sensor, a magnified image of a sample of the liquid; identify at least one shape in the image; determine a relative predominance of microscopic life forms within at least a portion of the image; and generate a report indicating any required corrective action based on the identification and the determination.

Abstract: The present disclosure pertains to a system configured to prepare and use prediction models for controlling contaminants of a liquid. Some embodiments may: sense, via a sensor, a magnified image of a sample of the liquid; identify at least one shape in the image; determine a relative predominance of microscopic life forms within at least a portion of the image; and generate a report indicating any required corrective action based on the identification and the determination.