This disclosure concerns methods and apparatus for interferometric spectroscopic measurements of particles with higher signal to noise ratio utilizing an infrared light beam that is split into two beams. At least one beam may be directed through a measurement volume containing a sample including a medium. The two beams may then be recombined and measured by a detector. The phase differential between the two beams may be selected to provide destructive interference when no particle is present in the measurement volume. A sample including medium with a particle is introduced to the measurement volume and the detected change resulting from at least one of resonant mid-infrared absorption, non-resonant mid-infrared absorption, and scattering by the particle may be used to determine a property of the particle. A wide range of properties of particles may be determined, wherein the particles may include living cells.

The present disclosure is directed, among other things, to automated systems and methods for analyzing, storing, and/or retrieving information associated with biological objects having irregular shapes. In some embodiments, the systems and methods partition an input image into a plurality of sub-regions based on localized colors, textures, and/or intensities in the input image, wherein each sub-region represents biologically meaningful data.

An analyzer of a component in a sample fluid includes an optical source and an optical detector defining a beam path of a beam, wherein the optical source emits the beam and the optical detector measures the beam after partial absorption by the sample fluid, a fluid flow cell disposed on the beam path defining an interrogation region in the a fluid flow cell in which the optical beam interacts with the sample fluid and a reference fluid; and wherein the sample fluid and the reference fluid are in laminar flow, and a scanning system that scans the beam relative to the laminar flow within the fluid flow cell, wherein the scanning system scans the beam relative to both the sample fluid and the reference fluid.

A method of detecting invasive fungi according to morphology thereof based on contrast staining, including: sterilizing and storing the necessary equipment aseptically; drawing 1 ml of venous blood from a tested subject's elbow vein; dripping one drop of the venous blood, prior to coagulation, into an ampoule containing 0.8 ml of a detection reagent under an aseptic environment; gently shaking the ampoule until the drop of venous blood is evenly distributed; leaving the ampoule to stand for 20 minutes to form a stained solution; sterilizing or disinfecting a microscope slide and a cover slip; dripping one drop of the stained solution on the microscope slide prepared under aseptic condition; observing the sample sequentially with 4×, 10× and 40× objective lenses and a 100× oil-immersion lens; magnifying with a 5 million pixel eyepiece; displaying an image of the sample on computer screen using a high-resolution imaging software for observation and record.

A seed imaging system for imaging seeds includes a seed transfer station configured to move seeds through the system. An imaging assembly includes a first camera mounted relative to the seed transfer station and configured to acquire images of the seeds as the seeds move through the system. A second camera is mounted relative to the seed transfer station and is configured to acquire images of the seeds as the seeds move through the system. The second camera has an imaging modality different from an imaging modality of the first camera. First and second cameras may be disposed above and below the seed transfer stations, such as a transparent belt.

Method of and apparatus for performing cyclic flow cytometry analysis on a sample population of cellular entities including: causing each cellular entity to be labeled with an optical identifier; for each cellular entity, performing a first pass of flow cytometry measurement over a flow channel with respect to a first set of parameters, under conditions of determining an identification for the cellular entity for which values of the first set of parameters are being obtained, and storing the values of the first set in association with the identification; and performing a second pass of flow cytometry measurement over the flow channel with respect to a second set of parameters, under conditions of separately determining an identification for the cellular entity for which values of the second set of parameters are being obtained, and storing the values of the second set in association with the identification.

The invention relates to a method for determining the particle size distribution of parts of a bulk material (2) fed onto a conveyor belt (1), wherein a depth image (6) of parts of the bulk material (2) is captured in a capturing region (4) by means of a depth sensor (3). In order to reliably classify bulk material at conveying speeds of more than 2 m/s even if there are overlaps, without having to take structurally complicated measures for this purpose, according to the invention, the captured two-dimensional depth image (6) is fed to a convolutional neural network, which has been trained in advance and which has at least three convolutional layers lying one behind the other and one downstream amount classifier (22) per class of a particle size distribution, the output values (21) of which amount classifiers are output as the particle size distribution of the bulk material present in the capturing region (4).

Imaging apparatus 10 for imaging nozzle section 21 of droplet dispenser device 20 includes illumination device 11 arranged for creating illumination light directed along illumination axis A1 towards an illumination range configured for accommodating nozzle section 21, and camera device 12 having imaging axis A2 directed to the illumination range. Camera device 12 is configured for collecting nozzle image(s) of nozzle section 21 arranged in the illumination range, wherein illumination device 11 and camera device 12 are arranged for dark field illumination of nozzle section 21. Illumination axis A1 and imaging axis A2 are slanted relative to each other and an illumination angle between axes A1 and A2 is selected such that the at least one nozzle image is collected with a dark background. Furthermore, dispenser apparatus 100 for dispensing droplets on a target and an imaging method for imaging nozzle section 21 of droplet dispenser device 20 are described.

An imaging flow cytometer includes: a flow channel in which an observation object flows and a length in a width direction is longer than a length in a height direction; an acoustic element configured to apply acoustic waves as standing waves to the flow channel; a light source that irradiates the flow channel with illumination light; an image sensor configured to image at least a line included in a cross section of the observation object crossing a flow line direction which is a direction in which the observation object flows in the flow channel by measuring or imaging the observation object passing through a position irradiated with the illumination light; and circuitry configured to generate an image in which the observation object is scanned in the flow line direction on the basis of a plurality of captured images acquired by the imaging unit imaging the line in a time series.

Systems and methods in accordance with various embodiments of the invention are capable of rapid analysis and classification of cellular samples based on cytomorphological properties. In several embodiments, cells suspended in a fluid medium are passed through a microfluidic channel, where they are focused to a single stream line and imaged continuously. In a number of embodiments, the microfluidic channel establishes flow that enables individual cells to each be imaged at multiple angles in a short amount of time. A pattern recognition system can analyze the data captured from high-speed images of cells flowing through this system and classify target cells. In this way, the automated platform creates new possibilities for a wide range of research and clinical applications such as (but not limited to) point of care services.