A microscope-based system and a method for image-guided microscopic illumination are provided. The microscope-based system for image-guided microscopic illumination comprises a microscope, an illuminating assembly, an imaging assembly, a first processing module, and a second processing module. The microscope comprises a stage, and the stage is configured to be loaded with a sample. The imaging assembly comprises a camera. The processing modules are coupled to the microscope, the imaging assembly, and the illuminating assembly. A processing module controls the imaging assembly such that the camera acquires an image or images of the sample of a first field of view, and the image or images are automatically transmitted to a processing module and processed by the first processing module automatically in real-time based on a predefined criterion, so as to determine an interested region in the image and so as to obtain a coordinate information regarding to the interested region, and the coordinate information regarding to the interested region is transmitted to a processing module, where this module controls the illuminating assembly to illuminate the interested region of the sample according to the received coordinate information regarding to the interested region. It is therefore an object to process the proteins, lipids, nucleic acids, or biochemical species in an area of interest specified by fluorescent signals or structural signature of biological images. Additional object is to collect a large amount of proteins, lipids, and nucleic acids through high content labeling and purification in order to identify proteins, lipids, nucleic acids, or biochemical species of interest in the area of interest by analytical approaches including mass spectrometry and sequencing.

Certain implementations of the subject matter can be implemented as a method of screening demulsifiers for live crude oil-water emulsions. A live emulsion of a hydrocarbon sample and a water sample is flowed through a capillary viscometer. The live emulsion includes dissolved gases retrieved from a hydrocarbon-carrying reservoir. While flowing the live emulsion through the capillary viscometer, a demulsifier sample is flowed through the capillary viscometer. The demulsifier sample causes breakdown of the live emulsion. Using the capillary viscometer, change in a viscosity of the live emulsion over time resulting from the breakdown of the live emulsion due to the demulsifier sample is measured. Multiple images of the breakdown of the live emulsion over time are captured. A strength of the live emulsion is classified based, in part, on the change in the viscosity of the live emulsion over time and on the plurality of images.

A system and method for constructing a digital composite image of a three-dimensional biological sample. The system includes an optical system that captures images of cells and tissue presented on a specimen slide. The system systematically acquires a stack of images at different segments across the specimen slide. For each segment, the system dynamically calculates an optimal focal plane. Once an optimal focal plane is determined for each of the stacks of images, the system generates a composite image by copying the sharpest objects from each of the optimal focal planes.

A parasite analysis system includes a pressure vessel configured to store a biological sample, an imaging cell connected to the pressure vessel, and a waste depository connected to the imaging cell. An input valve controls whether biological sample can flow from the pressure vessel into the imaging cell and an output valve controls whether biological sample can flow from the imaging cell into the waste depository. The parasite analysis system also includes a camera that captures a chronological set of images of a portion of the biological sample in the imaging cell and an image analysis system that analyzes the chronological set of images to generate an estimate of a number of parasites in the portion of the biological sample. Estimates for multiple portions of the biological sample may be generated and sampling techniques used to estimate the number of parasites in the entire biological sample.

A method for determining a presence of at least one guest structure at a host structure. The method comprises a light-sensitive system receiving light from the host structure. The host structure hosts one or more optically active entities at at least one part of the host structure. The at least one part does not host the at least one guest structure. Furthermore, the optically active entities cause light emission from the at least one part. The method also comprises the light-sensitive system outputting a signal based on the received light a step of determining a light value based on the output signal. The light value indicates an amount of light from the host structure incident on the light-sensitive system. The method also comprises determining on the basis of the light value at least one of a quantity and a position of the at least one guest structure.

An optical measuring apparatus and an operating method thereof are disclosed. The optical measuring apparatus includes a light source, a carrier chip, a light sensor, an analyzing chip and a display. Samples are uniformly distributed on the carrier chip. The light source emits sensing lights toward the carrier chip. The light sensor receives the sensing lights passing through the carrier chip at a plurality of times to obtain a plurality of images corresponding to the plurality of times respectively. The analyzing chip is coupled to the light sensor. The analyzing chip analyzes the object number and distribution variation with time in the sample according to the plurality of images corresponding to the plurality of times and estimates intrinsic characteristics of the object in the sample accordingly. The display is coupled to the analyzing chip. The display displays the intrinsic characteristics of the object in the sample.

Provided is a sample image management system that uses a cell culture vessel including a plurality of microwells and a plurality of first identifiers provided to the respective microwells in pairs. The sample image management system analyzes, in an enlarged sample image including a pair of the first identifier and the microwell, the microwell and the first identifier, and associates at least position information on the microwell with the enlarged sample image.

Systems and methods for automated stereology are provided. In some embodiments, an active deep learning approach may be utilized to allow for a faster and more efficient training of a deep learning model for stereology analysis. In other embodiments, existing deep learning models for stereology analysis may be re-tuned to develop greater accuracy for a given data set of interest, either with or without an active deep learning approach. A method can include: capturing a data set including a stack of images of a three-dimensional (3D) object; determining whether an existing deep learning model is appropriate for use on the stack of images (or for re-tuning); performing pre-processing on the data set; performing a training of a deep learning model; applying the deep learning model to obtain a confidence score for each label of the data set; reviewing, by a user, at least some labels in the active set to verify whether the label displays sufficient agreement with an expected result, and moving only those that display sufficient agreement to a training set; and performing a stereology analysis using the trained deep learning model.

The present invention includes an apparatus and method that facilitates the manual sorting of slides into slide folders. The apparatus includes a horizontal display surface and a controller configured to receive slides and folders into which the slides are to be placed (or sorted). The controller operates components of the apparatus to selectively illuminate the display surface to guide a user in placing folders at multiple folder locations and in sorting the slides into the folders. In one aspect of the invention, the apparatus is configured to allow multiple folders to be stacked at a folder location during the slide sorting process. In these aspects, the apparatus is configured to determine number of folders stacked at each folder location.

In an embodiment of the present disclosure, an optical method for determining morphological parameters and physiological properties of tissue is presented. The method includes using reflectance measurements from a tissue area for a plurality of wavelengths, using a bio-optical model, using radiative transfer modeling and using a non-linear inversion procedure. The method further includes systematically varying values of the morphological parameters and physiological properties of the tissue and simultaneously varying the inherent optical properties, which are linked to the morphological parameters and the physiological properties of the tissue, until the non-linear inversion procedure returns values for the morphological parameters and the physiological properties of the tissue such that an agreement between the reflectance measurements and reflectances computed by the radiative transfer model, based on the returned morphological parameters and the physiological properties of the tissue values and corresponding inherent optical properties values, reach a predetermined level of accuracy.