A device for acquisition of particles present in a sample includes a spatially coherent light source, an optical system, and an image sensor placed in the focal plane of the optical system. The image sensor is configured to capture an intensity image. A computational unit of the device is configured to construct a series of electromagnetic propagation matrices obtained for a plurality of defocusing offsets relative to a plane of focus of the optics. The computational unit is also configured to determine a first average focused electromagnetic matrix for the particles from the series of electromagnetic matrices, identifying at least one of the particles in the first electromagnetic matrix and storing the coordinates of said particle, and determining a second electromagnetic matrix at a distance of focus on a particle identified from the components of the series of electromagnetic matrices having the stored coordinates.

An improved system, method and interface for automated rapid antimicrobial susceptibility testing (AST) is disclosed which includes, in one aspect, a carrier population station comprising a workstation having a graphic user interface (GUI). The GUI accepts information from a lab technologist, including information related to a scope of testing to be performed on a patient sample. The GUI controls intelligent assignment of patient samples to test panels in a manner that maximize utilization of the test carrier by grouping together samples of similar tests scopes and advantageously testing those samples using one multiplexed test panel. Customizing workflow in accordance with test scope to facilitate parallel processing of multiple samples advantageously reduces laboratory waste, decreases test latencies, increases AST system throughput and efficiency, and thus lowers the costs to the AST lab.

An improved system, method and interface for automated rapid antimicrobial susceptibility testing (AST) is disclosed which includes, in one aspect, a carrier population station comprising a workstation having a graphic user interface (GUI). The GUI accepts information from a lab technologist, including information related to a scope of testing to be performed on a patient sample. The GUI controls intelligent assignment of patient samples to test panels in a manner that maximize utilization of the test carrier by grouping together samples of similar tests scopes and advantageously testing those samples using one multiplexed test panel. Customizing workflow in accordance with test scope to facilitate parallel processing of multiple samples advantageously reduces laboratory waste, decreases test latencies, increases AST system throughput and efficiency, and thus lowers the costs to the AST lab.

Provided herein are rapid, large-scale screening methods for identifying metal-biocide combinations that are synergistically effective to kill or inhibit the growth of microorganisms. Also provided herein are novel, synergistically antimicrobial metal-biocide combinations and uses of such compositions to curb or slow microbial growth.

An imaging system and method provides automated microbial growth detection for antibiotic sensitivity testing. A processing system having an image sensor for capturing images of an inoculated culture plate having antibiotic disks disposed on the culture media captures images of the plate at separate times (e.g., first and second images). The system generates pixel characteristic data for pixels of the second image from a comparison of the first image and second image. The pixel characteristic data may be indicative of plate growth. The system may access growth modeling data concerning the antibiotic disk(s) and generate simulated image data with a growth model function. The growth model function uses the growth modeling data. The simulated image data simulates growth on the plate relative to the disk(s). The system compares the simulated image and the pixel characteristic data to identify pixel region(s) of the second image that differ from the simulated image.

An imaging system and method provides automated microbial growth detection for antibiotic sensitivity testing. A processing system having an image sensor for capturing images of an inoculated culture plate having antibiotic disks disposed on the culture media captures images of the plate at separate times (e.g., first and second images). The system generates pixel characteristic data for pixels of the second image from a comparison of the first image and second image. The pixel characteristic data may be indicative of plate growth. The system may access growth modeling data concerning the antibiotic disk(s) and generate simulated image data with a growth model function. The growth model function uses the growth modeling data. The simulated image data simulates growth on the plate relative to the disk(s). The system compares the simulated image and the pixel characteristic data to identify pixel region(s) of the second image that differ from the simulated image.

A platform and method for conducting multi-variable combinational interactions are provided. An array of multiplexing chambers in formed in a body. The body also includes a common well communicating with each multiplexing chamber of the array of multiplexing chambers and a plurality of variable wells. Each of variable wells communicates with at least one multiplexing chamber of the array of multiplexing chambers. The common well is loaded with a first variable and different variables are loaded in each of the plurality of variable wells. The interaction of the first variable with at least one of the different variables in each multiplexing chamber of the array of multiplexing chambers is observed.

A platform and method for conducting multi-variable combinational interactions are provided. An array of multiplexing chambers in formed in a body. The body also includes a common well communicating with each multiplexing chamber of the array of multiplexing chambers and a plurality of variable wells. Each of variable wells communicates with at least one multiplexing chamber of the array of multiplexing chambers. The common well is loaded with a first variable and different variables are loaded in each of the plurality of variable wells. The interaction of the first variable with at least one of the different variables in each multiplexing chamber of the array of multiplexing chambers is observed.

An improved system, method and interface for automated rapid antimicrobial susceptibility testing (AST) is disclosed which includes, in one aspect, a carrier population station comprising a workstation having a graphic user interface (GUI). The GUI accepts information from a lab technologist, including information related to a scope of testing to be performed on a patient sample. The GUI controls intelligent assignment of patient samples to test panels in a manner that maximize utilization of the test carrier by grouping together samples of similar tests scopes and advantageously testing those samples using one multiplexed test panel. Customizing workflow in accordance with test scope to facilitate parallel processing of multiple samples advantageously reduces laboratory waste, decreases test latencies, increases AST system throughput and efficiency, and thus lowers the costs to the AST lab.

An improved system, method and interface for automated rapid antimicrobial susceptibility testing (AST) is disclosed which includes, in one aspect, a carrier population station comprising a workstation having a graphic user interface (GUI). The GUI accepts information from a lab technologist, including information related to a scope of testing to be performed on a patient sample. The GUI controls intelligent assignment of patient samples to test panels in a manner that maximize utilization of the test carrier by grouping together samples of similar tests scopes and advantageously testing those samples using one multiplexed test panel. Customizing workflow in accordance with test scope to facilitate parallel processing of multiple samples advantageously reduces laboratory waste, decreases test latencies, increases AST system throughput and efficiency, and thus lowers the costs to the AST lab.