Disclosed herein are methods of high-throughput screening test agents for treating a disease. Also disclosed herein are methods of high-throughput screening diseases. Systems for high-throughput screening are also disclosed herein.

Biosensing platform for simultaneous, multiplexed, high throughput and ultra-sensitive optical detection of biomarkers labelled with plasmonic nanoparticles, the platform being provided with a biosensor, a broadband and continuous spectrum illumination source, an optical detector for simultaneously capturing spatially resolved and spectrally resolved the scattering signal of each individual nanoparticle, an autofocus system and an optical system adapted to collect the scattered signal of the biosensor's surface onto the optical detector, the platform being provided with translation means for the optical system and/or the biosensor, such that the optical system and the biosensor can be displaced relative to each other in the three dimensions, and wherein the processing means are adapted to: i) simultaneously capture spatially and spectrally resolved scattering signals from each nanoparticle individually, and ii) to analyze these signals simultaneously with the capture process.

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).

The present invention comprises methods and apparatus utilizing multiple detectors to measure properties related to light scattered by particles. Characteristics of particles are determined from the measured properties.

A system for characterizing at least one particle from a fluid sample is disclosed. The system includes a filter disposed upstream of an outlet, and a luminaire configured to illuminate the at least one particle at an oblique angle. An imaging device is configured to capture and process images of the illuminated at least one particle as it rests on the filter for characterizing the at least one particle. A system for characterizing at least one particle using bright field illumination is also disclosed. A method for characterizing particulates in a fluid sample using at least one of oblique angle and bright field illumination is also disclosed.

According to an embodiment of the present invention, there is provided a method of screening a prostate cancer patient by optical image analysis of a circulating tumor cell marker and a prostate-specific membrane antigen.

The present invention relates to a method for subjecting a plurality of microwells containing cells to a high-content assay, said method comprising: a) Acquiring at least one image of said plurality of microwells; b) In said image, detecting a plurality of areas of interest, each area of interest corresponding to a single cell; c) Measuring at least one derived property, and, optionally, at least one direct property of said areas of interest, where said one or more properties is a selection property; d) Selecting a subset of said plurality of microwells, where said microwells belonging to the subset contain areas of interest selected based on said at least one selection property; e) Extrapolating an output parameter from a property measured in the set of areas of interest selected, where said property is defined as output property, said output property being distinct from said selection properties where said output parameter is the processing of an output property measured in said set of areas of interest. In a further aspect, there are claimed a system for subjecting a plurality of microwells containing cells to a high-content assay and a computer program which comprises instructions for subjecting a plurality of microwells containing cells to a high-content assay.

A portable air quality monitoring device is disclosed that can identify the type of particles in the air. This device takes images of particles in the air and compares them with a library of particles in its memory to identify the type of particles. The device has a housing that draws ambient air into the system and takes microscopic images of the flowing particles and droplets using flash photography. The device can be stand alone or can connect to the back of a mobile phone and use the mobile phone camera and light. People can upload their local air quality data online for all to see the local air quality.

A liquid droplet and solid particle sensing device is provided that can measure the average droplet size in a spray. The present device uses a swirling flow to draw a particulate or a spry into the device for sizing and counting. The swirling flow is configured to keep all the particles away from the walls of the device and to concentrate them at the center of a flow channel to pass through the center of a light beam for high sensitivity and repeatability of the measurement.

Methods and systems for determining interaction between cells are described wherein the method includes determining or receiving a sequence of images representing manipulating first cells, in a holding space, the holding space including a functionalized wall comprising second cells, the manipulating including settling of the first cells onto the functionalized wall and applying a force on the settled first cells; detecting groups of pixels representing first cells in first images representing the settling of the first cells onto the functionalized wall; tracking locations of detected first cells in the first images; and, determining settling events, a settling event being determined if a cell in a first image is not distinguishable from background of the first image, the location in the image at which a cell settling event is detected defining a cell settling location; detecting groups of pixels representing cells in second images captured during the application of the force and tracking locations of detected cells, wherein tracked locations of a detected cell in the second images form a tracking path, the first location of the tracking path defining a pop-up event, the location in a second image at which a pop-up event is detected defining a pop-up location; and, determining detachment events based on the settling locations and based on the pop-up locations, a detachment event defining a first cell being detached from a second cell due to application of the force on the first cell, and determining information about the interaction between first and second cells based on the force applied to the first cells.