A point-of-care diagnostic system that includes a cartridge and a reader. The cartridge can contain a patient sample, such as a blood sample. The cartridge is inserted into the reader and the patient sample is analyzed. The reader contains various analysis systems, such as a magneto-optical system that measures a light transmission differential through the patient sample in varying magnetic fields. The reader can process data from the various patient sample analysis to provide interpretative results indicative of a disease, infection and/or condition of the patient.

An automated system for processing a sample contained in a liquid sample container includes an automated tool head configured to rotate about a first axis, and to translate along a second axis different than the first axis, an analytic element positioner having an analytic element holder configured to releasably grip an analytic element, and a specimen transfer device carried by the tool head, wherein the tool head is configured to automatically position a working end of the specimen transfer device to obtain a specimen from a sample container held in the sample container holder, and to transfer the obtained specimen to an analytic element held by the analytic element holder, respectively, through one or both of rotation of the tool head about the first axis and translation of the tool head along the second axis.

This disclosure provides techniques for detecting and/or inhibiting corrosion of a distribution/recirculation network for a fluid, e.g., an aqueous matrix (liquid). For example, the disclosed techniques can be used to measure and/or predict degeneration of pipes, solder joints and various other plumbing fixtures in a water distribution network or heat transfer recirculation network caused as a function of variation in environmental parameters. In one embodiment, a system builds a database by measuring metal corrosion (e.g., from lead or copper pipe, solder joint or other type of plumbing vessel or fixture) and correlating degradation of a layer of protective scale and/or metal concentrations present with measured environmental parameters; later, as conditions vary, the database (or associated correlation weights/values) may be used to predict degradation of scale health and/or corrosion stemming from short and/or long term water conditions, and to effectuate advance mitigation.

Disclosed are methods, systems, and articles of manufacture for performing a process on biological samples. An analysis of biological samples in multiple regions of interest in a microfluidic device and a timeline correlated with the analysis may be identified. One or more region-of-interest types for the multiple regions of interest may be determined; and multiple characteristics may be determined for the biological samples based at least in part upon the one or more region-of-interest types. Associated data that respectively correspond to the multiple regions of interest in a user interface for at least a portion of the biological samples in the user interface based at least in part upon the multiple identifiers and the timeline. A count of the biological samples in a region of interest may be determined based at least in part upon a class or type of data using a convolutional neural network (CNN).

One embodiment of the invention is directed to a sample processing system for analyzing a biological sample from a patient. The sample processing system comprises: a plurality of analyzers comprising at least one mass spectrometer, wherein each analyzer in the plurality of analyzers is configured to acquire at least one measurement value corresponding to at least one characteristic of the biological sample; at least one data storage component which stores (i) a list of parameters for the plurality of analyzers, and (ii) at least two condition sets, which contain data associated with completing one or more test orders. The condition sets contain data which differ by at least one variable; and a control system operatively coupled to the plurality of analyzers, and the at least one data storage component. The control system is configured to (i) determine which condition set of the at least two condition sets to use based on the determined condition set, (ii) determine which analyzer or analyzers of the plurality of analyzers to use to process each test order based on the determined condition set and one or more parameters from the list of parameters, and (iii) cause the determined analyzer or analyzers to acquire one or more measurement values for the biological sample.

A method for indoor biological detection of a monitored space is provided including collecting and entering monitored space information to determine density and location of sensors for monitoring air for an aerosol plume, distributing the sensors throughout the space, monitoring air and detecting and characterizing a plume event, determining a source location, collecting and preparing an air sample upon the detection of the plume event, and assaying the air sample to identify a hazardous release utilizing a field screening device. The method continues with the steps of initiating a precautionary response for the hazardous release characterizing the plume as biological or non-biological and initiating a protective response. A system is also provided.

An inspection system for a plurality of separable inspection objects, including a feed device for the plurality of inspection objects, a conveying device for the plurality of inspection objects, an inspection unit and an ejecting device. The feed device is configured and disposed such that the plurality of inspection objects can be fed by the feed device to a feed position of the conveying device. The conveying device includes a plurality of receptacles, each receptacle is configured and disposed such that exactly one inspection object of the plurality of inspection objects can be conveyed along a conveying path in said receptacle and that two respective inspection objects from the plurality of inspection objects have a spacing along the conveying path that is defined by the plurality of receptacles. The inspection unit is disposed at an inspection position on the conveying path.

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. The anesthesia chamber provides standardized administration of anesthesia, the sample labeling system provides 2D barcoded labels according to user input, and the tissue freezing and waste disposal systems enable storage of samples and removal of carcasses following tissue collection, fully automating the necropsy.

Provided is a sample processing apparatus management system, sample processing apparatuses and a management apparatus, and a management method that can accurately and easily adjust the respective sample processing apparatuses irrespective of their individual differences. When abnormality has occurred in a sample analyzer, the sample analyzer requests approval for self-adjustment from a management server. The management server determines whether to permit performance of the self-adjustment, and when having determined to permit the self-adjustment, notifies the sample analyzer of the approval for the self-adjustment. When the approval for the self-adjustment has been notified of, the sample analyzer performs the self-adjustment.

The present disclosure describes automated systems and methods for handling objects, such as culture plates or dishes. For example, in one embodiment, the present disclosure describes an automated stacker and de-stacker comprising a clamping mechanism, a lift pad, a pair of pins, and a cabinet. A stack of culture plates may be stored in the cabinet. During a stacking operation, the pair of pins may be raised to stop a culture plate traveling along a conveyor track. Once stopped, the culture plate may be raised above the conveyor track by the lift pad and clamped by the clamping mechanism. During a de-stacking operation, the clamping mechanism may be opened, and the culture plate may be lowered onto the conveyor track by the lift pad.