Abstract: Disclosed are approaches for analyzing a two-dimensional (2D) dot plot, without human intervention, to identify conditions in a hematology sample. The analyses operate to provide indications of left shift and/or small-pathologic red blood cells based on spatial distribution of one or more groups of dots in the 2D dot plot. Spatial distribution of a group of white blood cell dots is analyzed to provide an indication of left shift. Spatial distribution of a group of red blood cell dots is analyzed to provide an indication of presence of small-pathologic red blood cells.

Abstract: A method for determining the density of particles includes passing a carrier fluid and particles through a fractionation cell at a predetermined rate, where the carrier fluid has a predetermined density, the fractionation cell has a housing including a first axial end and a second axial end and the fractionation cell defines an interior carrier fluid flow-through channel, and an upper fluid outlet and a lower fluid outlet positioned below the upper fluid outlet, passing the carrier fluid and the particles through the upper fluid outlet and the lower fluid outlet, measuring a first concentration of particles passing through the upper fluid outlet, measuring a second concentration of particles passing through the lower fluid outlet, and determining a density of the particles based at least in part on the first concentration and the second concentration of particles.

Abstract: In aspects, a system includes an on-board storage containing a synthetic quality control material, a plurality of sub-systems having a plurality of operating parameters and including a material analyzer, a database storing quality control results that include results of the material analyzer analyzing the synthetic quality control material over time, one or more processors, and at least one memory storing instructions which, when executed by the one or more processors, cause the system to, automatically without user intervention: generate a control chart based on the quality control results, determine that a parameter of the plurality of operating parameters is out-of-tolerance based on the control chart, and adjust at least one of the plurality of sub-systems without user intervention to bring the out-of-tolerance parameter to within tolerance.

Abstract: A method for presenting flow cytometry data includes accessing sensed data of a flow cytometer used to sense optical responses from a sample including a plurality of components; estimating optical characteristic values, physical characteristic values, and counts of the plurality of components based on the sensed data; transforming at least some of the optical characteristic values, the physical characteristic values, or the counts, of at least one of the plurality of components, by at least one of rotating or translating, to provide transformed values; and presenting a two-dimensional (2D) dot plot base on the transformed values and based on at least some of the optical characteristic values, the physical characteristic values, and the counts, of the plurality of components. The 2D dot plot has a first axis corresponding to the optical characteristic values and a second axis corresponding to the physical characteristic values.

Abstract: A collection container for separating and collection particles suspended in a sample fluid added to the collection container includes at least one barrier-forming fluid which is immiscible relative to the sample fluid and which has a specific gravity which is different from the specific gravity of the sample fluid. The barrier-forming fluid is situated in the collection container to be in contact with the sample fluid and to form with the sample fluid a fluidic imaging barrier at the interface between the sample fluid and the barrier-forming fluid. The particles suspended in the sample fluid will separate therefrom when centrifugal or gravitational forces are applied to the container and will collect at the fluidic imaging barrier for imaging by an optical imaging system.

Abstract: The present disclosure relates to quality control for point-of-care medical diagnostic systems. In various embodiments, the system includes an on-board storage containing a synthetic quality control material, a plurality of sub-systems having a plurality of operating parameters and including a material analyzer, a database storing quality control results that include results of the material analyzer analyzing the synthetic quality control material over time, one or more processors, and at least one memory storing instructions which, when executed by the one or more processors, cause the system to, automatically without user intervention: generate a control chart based on the quality control results, determine that a parameter of the plurality of operating parameters is out-of-tolerance based on the control chart, and adjust at least one of the plurality of sub-systems without user intervention to bring the out-of-tolerance parameter to within tolerance.

Abstract: The present disclosure relates to quality control for point-of-care medical diagnostic systems. In various embodiments, the system includes an on-board storage containing a synthetic quality control material, a plurality of sub-systems having a plurality of operating parameters and including a material analyzer, a database storing quality control results that include results of the material analyzer analyzing the synthetic quality control material over time, one or more processors, and at least one memory storing instructions which, when executed by the one or more processors, cause the system to, automatically without user intervention: generate a control chart based on the quality control results, determine that a parameter of the plurality of operating parameters is out-of-tolerance based on the control chart, and adjust at least one of the plurality of sub-systems without user intervention to bring the out-of-tolerance parameter to within tolerance.

Abstract: A method for determining the density of particles includes passing a carrier fluid and particles through a fractionation cell at a predetermined rate, where the carrier fluid has a predetermined density, the fractionation cell has a housing including a first axial end and a second axial end and the fractionation cell defines an interior carrier fluid flow-through channel, and an upper fluid outlet and a lower fluid outlet positioned below the upper fluid outlet, passing the carrier fluid and the particles through the upper fluid outlet and the lower fluid outlet, measuring a first concentration of particles passing through the upper fluid outlet, measuring a second concentration of particles passing through the lower fluid outlet, and determining a density of the particles based at least in part on the first concentration and the second concentration of particles.

Abstract: A method for detecting bacteria and determining the concentration thereof in a liquid sample includes the steps of taking an optical section through a container holding a volume of the liquid sample at a predetermined field of view and at a predetermined focal plane depth or angle and after a period of time has elapsed to allow non-bacteria in the sample to settle to the bottom of the container. Since bacteria auto arranges in the liquid sample, forming a lattice-like grid pattern, an optical section through the volume of auto-arranged bacteria may be used to measure the quantity of bacteria residing in that section. A container for holding the liquid sample has particular structure which aids in separating the non-bacteria from the bacteria.

Abstract: The present disclosure relates to quality control for point-of-care medical diagnostic systems. In various embodiments, the system includes an on-board storage containing a synthetic quality control material, a plurality of sub-systems having a plurality of operating parameters and including a material analyzer, a database storing quality control results that include results of the material analyzer analyzing the synthetic quality control material over time, one or more processors, and at least one memory storing instructions which, when executed by the one or more processors, cause the system to, automatically without user intervention: generate a control chart based on the quality control results, determine that a parameter of the plurality of operating parameters is out-of-tolerance based on the control chart, and adjust at least one of the plurality of sub-systems without user intervention to bring the out-of-tolerance parameter to within tolerance.

Abstract: A method for detecting bacteria and determining the concentration thereof in a liquid sample includes the steps of taking an optical section through a container holding a volume of the liquid sample at a predetermined field of view and at a predetermined focal plane depth or angle and after a period of time has elapsed to allow non-bacteria in the sample to settle to the bottom of the container. Since bacteria auto arranges in the liquid sample, forming a lattice-like grid pattern, an optical section through the volume of auto-arranged bacteria may be used to measure the quantity of bacteria residing in that section. A container for holding the liquid sample has particular structure which aids in separating the non-bacteria from the bacteria.

Abstract: A method for detecting bacteria and determining the concentration thereof in a liquid sample includes the steps of taking an optical section through a container holding a volume of the liquid sample at a predetermined field of view and at a predetermined focal plane depth or angle and after a period of time has elapsed to allow non-bacteria in the sample to settle to the bottom of the container. Since bacteria auto arranges in the liquid sample, forming a lattice-like grid pattern, an optical section through the volume of auto-arranged bacteria may be used to measure the quantity of bacteria residing in that section. A container for holding the liquid sample has particular structure which aids in separating the non-bacteria from the bacteria.

Abstract: A method for detecting bacteria and determining the concentration thereof in a liquid sample includes the steps of taking an optical section through a container holding a volume of the liquid sample at a predetermined field of view and at a predetermined focal plane depth or angle and after a period of time has elapsed to allow non-bacteria in the sample to settle to the bottom of the container. Since bacteria auto arranges in the liquid sample, forming a lattice-like grid pattern, an optical section through the volume of auto-arranged bacteria may be used to measure the quantity of bacteria residing in that section. A container for holding the liquid sample has particular structure which aids in separating the non-bacteria from the bacteria.

Abstract: A method for detecting bacteria and determining the concentration thereof in a liquid sample includes the steps of taking an optical section through a container holding a volume of the liquid sample at a predetermined field of view and at a predetermined focal plane depth or angle and after a period of time has elapsed to allow non-bacteria in the sample to settle to the bottom of the container. Since bacteria auto arranges in the liquid sample, forming a lattice-like grid pattern, an optical section through the volume of auto-arranged bacteria may be used to measure the quantity of bacteria residing in that section. A container for holding the liquid sample has particular structure which aids in separating the non-bacteria from the bacteria.

Abstract: Methods of producing synthetic corneas are disclosed which are differentiated from retinal stem cells (rSC) derived from parthenogenetically activated human oocytes, including that such synthetic corneas are produced in the absence of a 3-D scaffold. Isolated synthetic corneas, produced by the disclosed methods, are also described.

Abstract: An automated method for calibrating in real time a diagnostic analyzer includes the steps of receiving diagnostic results of patient samples calculated by the analyzer using pre-set parameters of the analyzer, and calculating the centroid of the analyzer's diagnostic results. The centroid of the analyzer's diagnostic results is subtracted from a centroid of diagnostic results of a field population of comparable analyzers to obtain a bias in the centroid of the analyzer's diagnostic results. The bias is compared to predetermined limits. Should the bias fall outside the predetermined limits, an optimization factor is derived and applied to the analyzer's diagnostic results to obtain optimized results from the analyzer without changing the pre-set parameters of the analyzer.

Abstract: A method for detecting bacteria and determining the concentration thereof in a liquid sample includes the steps of taking an optical section through a container holding a volume of the liquid sample at a predetermined field of view and at a predetermined focal plane depth or angle and after a period of time has elapsed to allow non-bacteria in the sample to settle to the bottom of the container. Since bacteria auto arranges in the liquid sample, forming a lattice-like grid pattern, an optical section through the volume of auto-arranged bacteria may be used to measure the quantity of bacteria residing in that section. A container for holding the liquid sample has particular structure which aids in separating the non-bacteria from the bacteria.

Abstract: A method to track stability and performance of diagnostic instrumentation, especially for veterinary automated hematology analyzers, applies a weighted moving averages algorithm to the diagnostic results of patient samples calculated by the analyzer. Control chart rules are used to set limits or ranges in order to determine if weighted averaged diagnostic results are within or outside of such limits or ranges. If the weighted average diagnostic results are outside of such control chart rule limits, then fuzzy logic and a gradient descent algorithm are applied to the weighted averaged diagnostic results.

Abstract: An automated method for calibrating in real time a diagnostic analyzer includes the steps of receiving diagnostic results of patient samples calculated by the analyzer using pre-set parameters of the analyzer, and calculating the centroid of the analyzer's diagnostic results. The centroid of the analyzer's diagnostic results is subtracted from a centroid of diagnostic results of a field population of comparable analyzers to obtain a bias in the centroid of the analyzer's diagnostic results. The bias is compared to predetermined limits Should the bias fall outside the predetermined limits, an optimization factor is derived and applied to the analyzer's diagnostic results to obtain optimized results from the analyzer without changing the pre-set parameters of the analyzer.

Abstract: A method to track stability and performance of diagnostic instrumentation, especially for veterinary automated hematology analyzers, applies a weighted moving averages algorithm to the diagnostic results of patient samples calculated by the analyzer. Control chart rules are used to set limits or ranges in order to determine if weighted averaged diagnostic results are within or outside of such limits or ranges. If the weighted average diagnostic results are outside of such control chart rule limits, then fuzzy logic and a gradient descent algorithm are applied to the weighted averaged diagnostic results.