Systems and methods for automated laser microdissection are disclosed including automatic slide detection, position detection of cutting and capture lasers, focus optimization for cutting and capture lasers, energy and duration optimization for cutting and capture lasers, inspection and second phase capture and/or ablation in a quality control station and tracking information for linking substrate carrier or output microdissected regions with input sample or slide.

The present invention relates to the methods, devices, and systems that make bio/chemical sensing (including, not limited to, immunoassay, nucleic assay, electrolyte analysis, etc.) faster, more sensitive, less steps, easy to perform, smaller amount of samples required, less or reduced (or no) needs for professional assistance, and/or lower cost, than many current sensing methods and devices. The present invention also allow a test performed by a smartphone.

The present disclosure provides devices, systems, and methods, for performing biological and chemical assays.

A method for counting blood cells in a sample of whole blood. The method comprises the steps of: (a) providing a sample of whole blood; (b) depositing the sample of whole blood onto a slide, e.g., a microscope slide; (c) employing a spreader to create a blood smear; (d) allowing the blood smear to dry on the slide; (e) measuring absorption or reflectance of light attributable to the hemoglobin in the red blood cells in the blood smear on the slide; (f) recording a magnified two-dimensional digital image of the area of analysis identified by the measurement in step (e) as being of suitable thickness for analysis; and (g) collecting, analyzing, and storing data from the magnified two-dimensional digital image.
Optionally, steps of fixing and staining of blood cells on the slide can be employed in the method.

Systems and methods for automated laser microdissection are disclosed including automatic slide detection, position detection of cutting and capture lasers, focus optimization for cutting and capture lasers, energy and duration optimization for cutting and capture lasers, inspection and second phase capture and/or ablation in a quality control station and tracking information for linking substrate carrier or output microdissected regions with input sample or slide.

The present invention is related to correct the errors in instruments, operation, and others using intelligent monitoring structures and machine learning, and others.

The invention relates to a printing control device (10) to control printing of a cover layer on a tissue or cell sample to be examined, a system (1) for printing of a cover layer (1) on a tissue or cell sample to be examined, a method to control printing of a cover layer on a tissue or cell sample to be sample to be examined, a computer program element for controlling such device or system for performing such method and a computer readable medium having stored such computer program element. The printing control device (10) comprises an imaging unit (11) and a printing control unit (12). The imaging unit (11) is configured to provide image data of the sample, and to determine a local image parameter from the image data. The local image parameter relates to local tissue porosity and/or a local capillary force of the sample. The printing control unit (12) is configured to control a printing parameter for printing the cover layer on the sample based on the local image parameter.

A real-time imaging method and system for monitoring an assay process performed on a biological sample is described. In some embodiments, the method and system can be used to measure and control a reagent volume confined to a space between a cover and a substrate, which is particularly useful for controlling for evaporation in a thin-film staining environment. In particular embodiments, the disclosed reagent volume sensing and replenishment method and system are resistant to system noises generated during operation, for example, system noise due to vibration, field of view blockage by dispenser systems, differences in reagent colors, and changing tissue colors.

A method includes: obtaining relevant information of the bone marrow smear; generating a global image; generating a to-be-digitized region, an amount of nucleated cells to be collected, and an amount of megakaryocytes to be classified; digitally labeling the bone marrow smear; scanning the to-be-digitized region by low magnification, labeling and identifying a target observation object; generating a switched image of the scanned region; scanning megakaryocytes by low magnification, and labeling and identifying the scanned megakaryocytes, the amount of the scanned megakaryocytes being the same as the amount of megakaryocytes to be classified; generating images of the scanned megakaryocytes; scanning nucleated cells by oil mirror scanning, and labeling and identifying the scanned nucleated cells, the amount of the scanned nucleated cells being the same as the amount of nucleated cells to be collected; generating images of the scanned nucleated cells; and generating a digital smear of the bone marrow smear.

An evaluation method is a method for evaluating a cell mass containing a plurality of aggregated cells, and includes an imaging step of capturing an image of light obtained from the cell mass by irradiating the cell mass with light, an analysis step of setting a reference point for the cell mass included in image data obtained by the imaging step, setting sampling circles centered on the reference point, and determining a parameter for a state of the cell mass based on image data included in regions on the sampling circles, and an evaluation step of evaluating the cell mass based on the parameter.