Patent classifications
G01N15/0612
Portable diffraction-based imaging and diagnostic systems and methods
The disclosure features systems and methods for measuring and diagnosing target constituents bound to labeling particles in a sample. The systems include a radiation source, a sample holder, a detector configured to obtain one or more diffraction patterns of the sample each including information corresponding to optical properties of sample constituents, and an electronic processor configured to, for each of the one or more diffraction patterns: (a) analyze the diffraction pattern to obtain amplitude information and phase information corresponding to the sample constituents; (b) identify one or more particle-bound target sample constituents based on at least one of the amplitude information and the phase information; and (c) determine an amount of at least one of the particle-bound target sample constituents in the sample based on at least one of the amplitude information and the phase information.
System, apparatus, and method for detecting microbes
A system for detecting microbes is provided. In the system for detecting microbes, light is emitted to a sample through a light emission module, a sensor module detects speckles generated when the emitted light is scattered by motion of bacteria or microbes contained in the sample, and a controller stores and analyzes images detected by the sensor module to test microbial detection, wherein controller may include a light emission controller connected to the light emission module and configured to control an emission period and an emission intensity of light emitted by the light emission module; an imaging collector connected to the sensor module and configured to store a speckle image generated through multiple scattering by the bacteria or microbes contained in the sample; a corrector configured to correct a deviation caused by a difference in the amount of light when the light emission module emits the light; and an estimator configured to estimate, in real-time, presence or absences of the bacteria or microbes in the sample or a concentration of the bacteria or microbes.
Device and method for detecting particles and method for manufacturing same
A device for detecting (D) at least one predetermined particle (P) includes an interferometric element (EI) arranged so as to be illuminated by an incident radiation (L.sub.in) and comprising at least one so-called thin layer (CM) disposed on top of a so-called substrate layer (Sub), the particle being attached to a surface (Sm) of the thin layer, the interferometric element (EI) forming a Fabry-Pérot cavity with or without attached particle P; a matrix sensor (Det) adapted to detect an image comprising a first portion (P.sub.1) deriving from the detection of the incident radiation transmitted (L.sub.TBG) by the interferometric element alone and a second portion (P.sub.2) deriving from the detection of the incident radiation transmitted (L.sub.TP) by the interferometric element and any particle (O, P) attached to a surface (Sm) of the thin layer; a processor (UT) linked to the sensor and configured: to calculate, as a function of wavelengths of the incident radiation λ.sub.i i∈[1,m], the variation of intensity of at least one first pixel of the first portion, called first variation (F.sub.BG) and of at least one second pixel of the second portion, called second variation (F.sub.P), to determine a trend, as a function of the wavelengths of the incident radiation λ.sub.i i∈[1,m], of a phase shift ϕ.sub.i between the first variation and the second variation; to detect the attached particle when the phase shift ϕ.sub.i is not constant as a function of the wavelengths of the incident radiation λ.sub.i i∈[1,m].
Assessment of micro-organism presence
The present disclosure relates to a consumable sample partition device and it assembly and use. The sample partition device can be used to test a sample for absence of microorganisms (sterility) and/or for concentration of said organisms (bio-burden). The sample partition device partitions the sample input volume into multiple discrete measurement zones with little or no loss of sample (e.g., zero-loss) and with little operator involvement, thereby reducing operator- and environment-based false positives.
INKJET PRINTING APPARATUS AND METHOD FOR INSPECTING INKJET HEAD USING SAME
Provided are an inkjet printing apparatus and a method for inspecting an inkjet head using same. The inkjet printing apparatus comprises: an inspection stage unit on which an inspection substrate is seated; an inkjet head unit including at least one inkjet head that ejects ink containing dipoles and a solvent in which the dipoles disperse, on the inspection stage unit; and a particle count inspection unit that is located so as to be spaced apart from the inkjet head unit in one direction. The particle count inspection unit comprises: a first heat treatment unit that is located on the top portion of the inspection stage unit; and a first sensing unit that is located on the bottom portion of the inspection stage unit and measures the number of dipoles sprayed onto the inspection substrate.
IN SITU FLUID SAMPLING DEVICE AND METHOD OF USING THE SAME
Various embodiments are directed to a device for detecting fluid particle characteristics comprising: a collection fluid dispense assembly configured to selectively dispense a volume of collection fluid onto an absorbent media disposed within an internal sensor portion of a fluid composition sensor, producing a collection media based on interaction between the volume of collection fluid and the absorbent media; and a controller configured to determine, based on a particle image captured by an imaging device, a particle characteristic associated with a particle captured at the collection media. In various embodiments a device is configured to receive therein a collection media comprising a biologically nutritive substance; and may comprise an imaging device and a controller configured to determine a biological particle characteristic based on a comparison of first particle data and second particle data generated by the imaging device, the second particle data being associated with an incubated particle configuration.
Observation system for acquiring images of culture medium in at least three colors
An observation system includes an observation apparatus including a housing having an arrangement surface for placement of a sample, the sample including a culture medium, and an external illumination unit which is disposed outside the housing and includes at least one light source configured to emit illumination light. At least a part of the arrangement surface is formed of a transparent member having an optically transparent property. The observation apparatus includes an imaging unit which is provided in the housing and includes an image sensor configured to image, via the transparent member, the sample illuminated by the illumination light from the external illumination unit to acquire images of at least three colors.
DEVICE FOR OPTIMIZING FLUID SAMPLE VOLUME AND METHOD OF USING THE SAME
A fluid sampling device, the device having a fluid composition sensor configured to receive a fluid sample and capture a plurality of particles from the fluid sample at a collection media, wherein the fluid composition sensor is further configured to generate particle data associated with the plurality of particles using a particle imaging operation, and a controller, the controller being configured to: determine an optimal sample volume associated with a sample collection operation based at least in part on a particle load condition defined by the plurality of particles captured at the collection media during the sample collection operation, and update one or more operational characteristics of the fluid composition sensor such that the sample collection operation is defined at least in part by the optimal sample volume.
APPARATUSES, COMPUTER-IMPLEMENTED METHODS, AND COMPUTER PROGRAM PRODUCTS FOR IMPROVED GENERATION OF OBJECT IDENTIFICATION DATA
Embodiments of the present disclosure provide for improved generation and outputting of object identification data indicating object classifications for object representations. Such objects representations may correspond to depictions of objects in images captured using digital holographic microscopy. Some embodiments generate object identification data by comparing object representations in focused image(s) with specially configured annotated focused images, for example using a specially trained neural network or other machine learning model trained based on such annotated focused images. The annotated focused images are generated including a plurality of channels, each associated with a different grayscale focused image at a different target focal length of a range of target focal lengths. In this regard, model(s), algorithm(s), and/or other specially configured implementations may learn the spatial features of particular object representations and associated object identification data. The trained models may be used to perform accurate comparisons with the annotated focused images.
METHOD FOR AN AUTOMATIC INSPECTION OF A MULTIPLICITY OF PLATE-LIKE PLASTIC CARRIERS
A method for an automatic inspection of a plurality of plate-like plastic carriers, whereby each plastic carrier is closed by a cover and has a unique identification code and a culture medium. A storage container including a multiplicity of plastic carriers is provided, and a computer-controlled handling unit including an optical inspection system is provided. While performing the automatic inspection in an inspection routine, a plastic carrier is removed from the storage container with the aid of the handling unit, the cover of the plastic carrier is subsequently removed, the plastic carrier is supplied to the inspection system, the identification code is read, and at least one image of the plastic carrier, including the surface of the culture solution is recorded. The image is evaluated for a growth of germs and/or faults in the plastic carrier and the result of the evaluation is stored for each plastic carrier.