A system for dissociating cells from a cell culture vessel. The system comprises an imaging system configured to image a plurality of cells in a cell culture vessel being dissociated from at least one surface of the cell culture vessel by at least one cell dissociation agent; and at least one controller coupled to the imaging system and configured to: control the imaging system to capture a sequence of images of at least some cells in the plurality of cells during dissociation; and identify when to neutralize the at least one cell dissociation agent using the sequence of images.

The present invention relates to a method and system for screening and separating biological specimens. The screening and separating method and system provide reliable results based on information related to the types, shapes, and positions of labeled products provided by an agent for accurate screening. In addition, the information related to the types, shapes, and positions can be combined to determine objective indices for the state of a target specimen, enabling rapid selection of the target specimen. The method and system for screening and separating biological specimens according to the present invention use an agent optimized to accurately and effectively create information on the selection of a target specimen and process images based on information on images stored in a server, enabling sensitive and highly reproducible screening evaluation.

Various implementations, systems and methods are disclosed for continuous, near real-time, hands-off sampling of airborne particulate matter, and qualification and/or quantification of biomolecules in the sample representative for biologic or microbial contamination. The systems and methods may utilize an electrostatic precipitator for sampling the matter; and a measurement assembly configured to illuminate, excite, or breakdown the sampled matter by electromagnetic radiation, and to detect a spectrum, or one or more wavelength bands of the scatter emitted by the sample. In an exemplary implementation, a sputter deposition process is employed to configure the sample for an enhanced plasmon resonance. The measurement data may be transferred via wireless communication means for cloud storage and signal processing.

The invention is directed to a process for extracting target cells from a three dimensional biological specimen by the steps imaging the three dimensional specimen; identifying target cells; registering the spatial parameters (x,y,z coordinates) of the target cells; and extraction of target cells according to their spatial parameters

A method for determining, in parts, the volume of a bulk material (2) fed onto a conveyor belt (1) captures a depth image (6) of the bulk material (2), in parts, in a capturing region (4) by means of a depth sensor (3). So that bulk material can be reliably classified at conveying speeds of more than 2 m/s even in the case of overlaps without structurally complicated measures, the captured two-dimensional depth image (6) is fed to a convolutional neural network trained in advance, which has at least three convolutional layers lying one behind the other and a downstream volume classifier (20), the output value (21) of which is output as the bulk material volume present in the capturing region (4).

A method comprises obtaining input data comprising a hologram of a 3-dimensional (3D) particle field, a depth map of the 3D particle field, and a maximum phase projection of the 3D particle field. The method also comprises applying a U-net convolutional neural network (CNN) to the input data to generate output data. Encoder blocks have residual connections between a first layer and a second layer that skips over a convolution layer of the encoder block. Decoder blocks have residual connections between a first layer and a second layer that skips over a convolution layer of the decoder block. The output data includes a channel in which pixel intensity corresponds to relative depth of particles in the 3D particle field and an output image indicating locations of centroids of the particles in the 3D particle field.

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).

A method of evaluating performance of a flow cytometer configured to use a combination of two or more types of calibration particles having different morphologies from each other, includes a first classification step of classifying the calibration particles from each other based on a first optical characteristic by the flow cytometer which is an evaluation target, a second classification step of classifying the calibration particles from each other based on a second optical characteristic which is classifiable at a spatial resolution lower than a spatial resolution at which the first optical characteristic is classified, and the evaluation step of evaluating one or both of particle classification performance and a resolution of the flow cytometer based on a first classification result assessed in the first classification step and a second classification result assessed in the second classification step.

An observation apparatus includes a light source, a lens, a polarizer, a first prism, a condenser lens, an objective lens, a second prism, a ¼ wave plate, a lens, a polarization camera, and an analysis unit. Each of the first prism and the second prism is, for example, a Wollaston prism or a Nomarski prism. The ¼ wave plate inputs light output from the second prism, and outputs two circularly polarized light beams having different rotation directions. The polarization camera inputs two light beams being circularly polarized in different rotation directions by the ¼ wave plate, and acquires an interference image on an imaging plane for each of three or more polarization components.

A system and method for the detection and tracking of droplets sprayed from an agricultural spray nozzle is provided. The system includes a sensor configured to observe droplets sprayed from the nozzle, a frame extractor module, a droplet shape and size extraction module, a droplet tracking module, and a data log module. The system may provide an artificial intelligence (AI)-enabled framework capable of processing images obtained of droplets, detecting and tracking all droplets appearing across image frames, and determining the droplets' geometric and dynamic data. The system further provides for the integration of deep-learning techniques into an image processing algorithm which enables precise and reliable determination of droplet characteristics. In addition, the deep-learning framework produces consistent results under a variety of uncertain imaging conditions.