Method for high-throughput determination of whole water toxicity

A method for high-throughput determination of whole water toxicity, the method comprising:

• 1) exposing test organisms in a wastewater sample for pollution, obtaining phenotypic feature data of the test organisms;
• 2) constructing a toxicity matrix;
• and
• 3) building a machine learning model, and in combination with the toxicity matrix, determining a whole toxicity of the wastewater sample;
• wherein:
• following exposure in the wastewater sample for pollution, the test organisms are extracted through multiple fluorescent staining, high-content automated imaging, and cellular morphological characterization, to obtain the phenotypic feature data of the test organisms;
• and
• the high-content automated imaging adopts a high content cell imaging and analysis system for high throughput automatic acquisition of subcellular structure images of algae cells and fish gill cells of 4-8 parallel experiments inoculated in a well plate.