Abstract: A system for imaging biological samples and analyzing images of the biological samples is provided. The system can automatically analyze images of biological samples to classify cells of interest using machine learning techniques. Some implementations can diagnose diseases associated with specific cell types. Devices, methods, and computer program product for imaging and analyzing biological samples are also provided.

Abstract: A home test strip for detection of endotoxin in food, the test strip includes an amebocyte lysate component, a chromogenic substrate component, and a carrier matrix. The amebocyte lysate component and the chromogenic substrate component are located in close proximity to each other and further incorporated within the carrier matrix. A home test kit for detection of endotoxin in food is also provided, which includes a sample holding container for collecting and holding a sample, a test strip, a standard colour scale. A method for detection of endotoxin in food is further provided, which includes the steps of preparing a food sample, placing a test strip in the food sample, waiting for an instructed time prior to removing the test strip, observing the formation of any colour, and matching the intensity of colour formed against a standard colour scale for deciding safety of food for consumption.