Abstract: Methods and systems for generating virtually stained fluorescence images from unlabeled cells. Methods include receiving one or more cell images acquired using an image-based flow cytometer, receiving user input of a species and cell type of the cells in the images, receiving user selection of one or more biomarkers, and generating virtual stained fluorescence images of the one or more cells representative of digital expression data for the one or more biomarkers. Systems include (i) a training device that uses machine learning models to generate an image conversion algorithm based on a training data set having a plurality fluorescence images of individual cells stained with a fluorescent marker, and (ii) a virtual staining device that receives fluorescence images from unlabeled test cells and applies the image conversion algorithm to the fluorescence images to produce a virtually stained fluorescence image.

Abstract: Methods and systems for automating surgical procedures in model organisms. The system includes a user input panel, a trained computer vision system, a server, and articulated robotic arm. The system may further include an analytical scale, an anesthesia chamber, a tube labeling system, a tissue freezing system, and a biohazard waste disposal system. The computer vision system communicates with the robotic arm to coordinate tissue collections and common research procedures such as injections via recognition models related to detection, identification, localization, and classification. The central server provides rapid synchronization of data between the local machine and a cloud account system for real-time data analytics.

Abstract: Methods and systems for automating surgical procedures in model organisms. The system includes a user input panel, a trained computer vision system, a server, and articulated robotic arm. The system may further include an analytical scale, an anesthesia chamber, a tube labeling system, a tissue freezing system, and a biohazard waste disposal system. The computer vision system communicates with the robotic arm to coordinate tissue collections and common research procedures such as injections via recognition models related to detection, identification, localization, and classification. The central server provides rapid synchronization of data between the local machine and a cloud account system for real-time data analytics.