Abstract: For analyzing a sample containing particles of at least two categories, such as a sample containing blood cells, a particle counter subject to a detection limit is coupled with an analyzer capable of discerning particle number ratios, such as a visual analyzer, and a processor. A first category of particles can be present beyond detection range limits while a second category of particles is present within respective detection range limits. The concentration of the second category of particles is determined by the particle counter. A ratio of counts of the first category to the second category is determined on the analyzer. The concentration of particles in the first category is calculated on the processor based on the ratio and the count or concentration of particles in the second category.

Abstract: For analyzing a sample containing particles of at least two categories, such as a sample containing blood cells, a particle counter subject to a detection limit is coupled with an analyzer capable of discerning particle number ratios, such as a visual analyzer, and a processor. A first category of particles can be present beyond detection range limits while a second category of particles is present within respective detection range limits. The concentration of the second category of particles is determined by the particle counter. A ratio of counts of the first category to the second category is determined on the analyzer. The concentration of particles in the first category is calculated on the processor based on the ratio and the count or concentration of particles in the second category.

Abstract: Particles such as blood cells can be categorized and counted by a digital image processor. A digital microscope camera can be directed into a flowcell defining a symmetrically narrowing flowpath in which the sample stream flows in a ribbon flattened by flow and viscosity parameters between layers of sheath fluid. A contrast pattern for autofocusing is provided on the flowcell, for example at an edge of a rear illumination opening. The image processor assesses focus accuracy from pixel data contrast. A positioning motor moves the microscope and/or flowcell along the optical axis for autofocusing on the contrast pattern target. The processor then displaces microscope and flowcell by a known distance between the contrast pattern and the sample stream, thus focusing on the sample stream. Blood cell images are collected from that position until autofocus is reinitiated, periodically, by input signal, or when detecting temperature changes or focus inaccuracy in the image data.

Abstract: For analyzing a sample containing particles of at least two categories, such as a sample containing blood cells, a particle counter subject to a detection limit is coupled with an analyzer capable of discerning particle number ratios, such as a visual analyzer, and a processor. A first category of particles can be present beyond detection range limits while a second category of particles is present within respective detection range limits. The concentration of the second category of particles is determined by the particle counter. A ratio of counts of the first category to the second category is determined on the analyzer. The concentration of particles in the first category is calculated on the processor based on the ratio and the count or concentration of particles in the second category.

Abstract: Particles such as blood cells can be categorized and counted by a digital image processor. A digital microscope camera can be directed into a flowcell defining a symmetrically narrowing flowpath in which the sample stream flows in a ribbon flattened by flow and viscosity parameters between layers of sheath fluid. A contrast pattern for autofocusing is provided on the flowcell, for example at an edge of a rear illumination opening. The image processor assesses focus accuracy from pixel data contrast. A positioning motor moves the microscope and/or flowcell along the optical axis for autofocusing on the contrast pattern target. The processor then displaces microscope and flowcell by a known distance between the contrast pattern and the sample stream, thus focusing on the sample stream. Blood cell images are collected from that position until autofocus is reinitiated, periodically, by input signal, or when detecting temperature changes or focus inaccuracy in the image data.

Abstract: Particles such as blood cells can be categorized and counted by a digital image processor. A digital microscope camera can be directed into a flowcell defining a symmetrically narrowing flowpath in which the sample stream flows in a ribbon flattened by flow and viscosity parameters between layers of sheath fluid. A contrast pattern for autofocusing is provided on the flowcell, for example at an edge of a rear illumination opening. The image processor assesses focus accuracy from pixel data contrast. A positioning motor moves the microscope and/or flowcell along the optical axis for autofocusing on the contrast pattern target. The processor then displaces microscope and flowcell by a known distance between the contrast pattern and the sample stream, thus focusing on the sample stream. Blood cell images are collected from that position until autofocus is reinitiated, periodically, by input signal, or when detecting temperature changes or focus inaccuracy in the image data.

Abstract: For analyzing a sample containing particles of at least two categories, such as a sample containing blood cells, a particle counter subject to a detection limit is coupled with an analyzer capable of discerning particle number ratios, such as a visual analyzer, and a processor. A first category of particles can be present beyond detection range limits while a second category of particles is present within respective detection range limits. The concentration of the second category of particles is determined by the particle counter. A ratio of counts of the first category to the second category is determined on the analyzer. The concentration of particles in the first category is calculated on the processor based on the ratio and the count or concentration of particles in the second category.

Abstract: Embodiments of the present invention generally relate to methods for immobilizing a biological specimen for extended periods of time for image capture. Specific embodiments may be used to support a target specimen in a gel matrix. In some embodiments, the biological specimen may be in liquid form at elevated temperatures, a stain and/or lyse may be added to the biological specimen, and a gelling composition may added. At reduced temperatures, the gelling composition may still the biological specimen to immobilize a biological specimen for extended periods of time for image capture.

Abstract: The present disclosure relates to apparatus, systems, compositions, and methods for analyzing a sample containing particles. A particle imaging system or analyzer can include a flowcell through which a urine sample containing particles is caused to flow, and a high optical resolution imaging device which captures images for image analysis. A contrast pattern for autofocusing is provided on the flowcell. The image processor assesses focus accuracy from pixel data contrast. A positioning motor moves the microscope and/or flowcell along the optical axis for autofocusing on the contrast pattern target. The processor then displaces microscope and flowcell by a known distance between the contrast pattern and the sample stream, thus focusing on the sample stream. Cell or particle images are collected from that position until autofocus is reinitiated, periodically, by input signal, or when detecting temperature changes or focus inaccuracy in the image data.

Abstract: Particles such as blood cells can be categorized and counted by a digital image processor. A digital microscope camera can be directed into a flowcell defining a symmetrically narrowing flowpath in which the sample stream flows in a ribbon flattened by flow and viscosity parameters between layers of sheath fluid. A contrast pattern for autofocusing is provided on the flowcell, for example at an edge of a rear illumination opening. The image processor assesses focus accuracy from pixel data contrast. A positioning motor moves the microscope and/or flowcell along the optical axis for autofocusing on the contrast pattern target. The processor then displaces microscope and flowcell by a known distance between the contrast pattern and the sample stream, thus focusing on the sample stream. Blood cell images are collected from that position until autofocus is reinitiated, periodically, by input signal, or when detecting temperature changes or focus inaccuracy in the image data.

Abstract: A method for dynamic focusing is presented that can be performed by a dynamic focusing controller that can receive images from the image capture device, and for each image, determine a border of the particle within the image, and calculate a pixel intensity ratio of the image based on the border of the particle. The dynamic focusing controller can also calculate a median pixel intensity ratio from the pixel intensity ratios for each image, determine a focal distance direction based on the median pixel intensity ratio, calculate a focal distance based on the median pixel intensity ratio when the focal distance direction is positive, and calculate the focal distance based on a median border width when the focal distance direction is negative. The autofocusing controller can then send an instruction to the focusing mechanism to adjust the image capture device by the focal distance in the focal distance direction.

Abstract: Particles such as blood cells can be categorized and counted by a digital image processor. A digital microscope camera can be directed into a flowcell defining a symmetrically narrowing flowpath in which the sample stream flows in a ribbon flattened by flow and viscosity parameters between layers of sheath fluid. A contrast pattern for autofocusing is provided on the flowcell, for example at an edge of a rear illumination opening. The image processor assesses focus accuracy from pixel data contrast. A positioning motor moves the microscope and/or flowcell along the optical axis for autofocusing on the contrast pattern target. The processor then displaces microscope and flowcell by a known distance between the contrast pattern and the sample stream, thus focusing on the sample stream. Blood cell images are collected from that position until autofocus is reinitiated, periodically, by input signal, or when detecting temperature changes or focus inaccuracy in the image data.

Abstract: For analyzing a sample containing particles of at least two categories, such as a sample containing blood cells, a particle counter subject to a detection limit is coupled with an analyzer capable of discerning particle number ratios, such as a visual analyzer, and a processor. A first category of particles can be present beyond detection range limits while a second category of particles is present within respective detection range limits. The concentration of the second category of particles is determined by the particle counter. A ratio of counts of the first category to the second category is determined on the analyzer. The concentration of particles in the first category is calculated on the processor based on the ratio and the count or concentration of particles in the second category.

Abstract: A method for dynamic focusing is presented that can be performed by a dynamic focusing controller that can receive images from the image capture device, and for each image, determine a border of the particle within the image, and calculate a pixel intensity ratio of the image based on the border of the particle. The dynamic focusing controller can also calculate a median pixel intensity ratio from the pixel intensity ratios for each image, determine a focal distance direction based on the median pixel intensity ratio, calculate a focal distance based on the median pixel intensity ratio when the focal distance direction is positive, and calculate the focal distance based on a median border width when the focal distance direction is negative. The autofocusing controller can then send an instruction to the focusing mechanism to adjust the image capture device by the focal distance in the focal distance direction.

Abstract: Particles such as blood cells can be categorized and counted by a digital image processor. A digital microscope camera can be directed into a flowcell defining a symmetrically narrowing flowpath in which the sample stream flows in a ribbon flattened by flow and viscosity parameters between layers of sheath fluid. A contrast pattern for autofocusing is provided on the flowcell, for example at an edge of a rear illumination opening. The image processor assesses focus accuracy from pixel data contrast. A positioning motor moves the microscope and/or flowcell along the optical axis for autofocusing on the contrast pattern target. The processor then displaces microscope and flowcell by a known distance between the contrast pattern and the sample stream, thus focusing on the sample stream. Blood cell images are collected from that position until autofocus is reinitiated, periodically, by input signal, or when detecting temperature changes or focus inaccuracy in the image data.

Abstract: Aspects and embodiments of the instant disclosure provide a particle and/or intracellular organelle alignment agent for a particle analyzer used to analyze particles contained in a sample. An exemplary particle and/or intracellular organelle alignment agent includes an aqueous solution, a viscosity modifier, and/or a buffer.

Abstract: For analyzing a sample containing particles of at least two categories, such as a sample containing blood cells, a particle counter subject to a detection limit is coupled with an analyzer capable of discerning particle number ratios, such as a visual analyzer, and a processor. A first category of particles can be present beyond detection range limits while a second category of particles is present within respective detection range limits. The concentration of the second category of particles is determined by the particle counter. A ratio of counts of the first category to the second category is determined on the analyzer. The concentration of particles in the first category is calculated on the processor based on the ratio and the count or concentration of particles in the second category.

Abstract: Systems and methods for imaging a plurality of blood fluid samples or other types of samples include processing at least a portion of a sample to enhance imageability of certain particles in that portion and subsequently imaging the sample portion. In some instances, processing and imaging of various samples may be staged in a manner to optimize throughput of the system or method.

Abstract: The present disclosure relates to apparatus, systems, compositions, and methods for analyzing a sample containing particles. In some aspects the system comprises an analyzer which may be a visual analyzer. In one aspect, this disclosure relates to a particle imaging system comprising a flowcell through which a sample containing particles is caused to flow, and a high optical resolution imaging device which captures images for image analysis of samples. Other compositions, methods and features of this disclosure are disclosed herein.

Abstract: Aspects and embodiments of the instant disclosure provide a particle and/or intracellular organelle alignment agent for a particle analyzer used to analyze particles contained in a sample. An exemplary particle and/or intracellular organelle alignment agent includes an aqueous solution, a viscosity modifier, and/or a buffer. Embodiments also encompass systems, compositions, and methods for analyzing a sample containing particles. Parrticles such as blood cells can be categorized and counted by a digital image processor. A digital microscope camera can be directed, for example using certain focusing techniques, into a flowcell defining a symmetrically narrowing flowpath in which the sample stream flows in a ribbon flattened by flow and viscosity parameters between layers of sheath fluid. Blood cell images can be collected and analyzed using dynamic range extension processes and systems.