11613results about "Microscopes" patented technology

A method of self-testing an imaging system of a sample handling apparatus is provided. Systems and non-transitory computer readable mediums performing the method are also provided.

A method of self-testing an imaging system of a sample handling apparatus is provided. Systems and non-transitory computer readable mediums performing the method are also provided.

A sample holder includes a first member featuring a first retaining mechanism configured to retain a first substrate that includes a sample, a second member featuring a second retaining mechanism configured to retain a second substrate that includes a reagent medium, and an alignment mechanism connected to at least one of the first and second members, and configured to align the first and second members such that the sample contacts at least a portion of the reagent medium when the first and second members are aligned.

A method of capturing analytes from a sample is provided. A first substrate including a sample is mounted on a first member of a sample handling device and mounting a second substrate including an array of capture probes on a second member of the sample handling device. A first reagent medium is applied to the first and / or second substrate and moving the first member and / or the second member to fluidically couple the sample and the array of capture probes via the first reagent medium. The sample and the array of capture probes are fluidically decoupled by moving the first member and / or the second member and a second reagent medium is applied to the first and / or second substrate and moving the first member and / or the second member to fluidically couple the sample and the array of capture probes via the second reagent medium. Related systems and apparatuses are also provided.

A sample holder includes a first member featuring a first retaining mechanism configured to retain a first substrate that includes a sample, a second member featuring a second retaining mechanism configured to retain a second substrate that includes a reagent medium, and an alignment mechanism connected to at least one of the first and second members, and configured to align the first and second members such that the sample contacts at least a portion of the reagent medium when the first and second members are aligned.

A method of self-testing an imaging system of a sample handling apparatus is provided. Systems and non-transitory computer readable mediums performing the method are also provided.

A sample holder includes a first member featuring a first retaining mechanism configured to retain a first substrate that includes a sample, a second member featuring a second retaining mechanism configured to retain a second substrate that includes a reagent medium, and an alignment mechanism connected to at least one of the first and second members, and configured to align the first and second members such that the sample contacts at least a portion of the reagent medium when the first and second members are aligned.

This disclosure provides methods for spatial profiling of biological analytes present in a biological sample. Methods include generating feature arrays using a master / copy format using recessed arrays, and methods for using such arrays. For example spatially-tagged analyte capture analytes can be used in spatial detection in methods to determine the location of analytes (e.g., proteins) in biological samples.

Systems and methods are provided for targeting one or more features in a region of interest, and efficiently removing the features from an array of features. The systems and methods can remove one or more beads that contain analytes, intermediate agents, or a combination thereof, from the region of interest of a substrate by emitting light toward the beads on the substrate.

A sample holder includes a first member featuring a first retaining mechanism configured to retain a first substrate that includes a sample, a second member featuring a second retaining mechanism configured to retain a second substrate that includes a reagent medium, and an alignment mechanism connected to at least one of the first and second members, and configured to align the first and second members such that the sample contacts at least a portion of the reagent medium when the first and second members are aligned.

Computational refocusing-assisted deep learning methods, apparatus, and systems are described. In certain pathology examples, a representative image is generated using a machine learning model trained with uniformly focused training images generated by a Fourier ptychographic digital refocusing procedure and abnormalities are automatedly identified and / or enumerated based on the representative image.

The invention provides a microscope automatic focusing method and device and a computer readable storage medium, and the method comprises the steps: S1, capturing a laser reflection light spot image on a sample through a camera, so as to determine the focusing position of an objective lens; s2, integrating the light spots through threshold processing and morphological operation, analyzing the gradient of a longitudinal gray distribution map to determine the edge and orientation, and finally identifying the maximum contour and framing the maximum contour with a minimum bounding rectangle to determine the width of the light spots; and S3, according to the linear relation between the light spot width and the defocusing distance and by analyzing the semi-circle orientation and width change of the light spot, controlling the focusing motor to reach the focusing position. The distance and the direction between the objective lens and the focal plane are determined by acquiring the reflected light spot image of the laser irradiated on the sample through the microscope objective lens, and the focusing error caused by the nonlinearity of the spot size when the point-semicircle spot approaches the focal plane is avoided according to the linear relation between the spot width and the defocusing distance. And the focusing process is high in efficiency and precision.

A system and method for image-guided microscopic illumination are provided. A processing module controls an imaging assembly such that a camera acquires an image or images of a sample in multiple fields 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 coordinate information of an interested region in each field of view. The processing module also controls an illuminating assembly to illuminate the interested region of the sample according to the received coordinate information regarding to the interested region, with the illumination patterns changing among the fields of view.

A system and method for image-guided microscopic illumination are provided. A processing module controls an imaging assembly such that a camera acquires an image or images of a sample in multiple fields 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 coordinate information of an interested region in each field of view. The processing module also controls an illuminating assembly to illuminate the interested region of the sample according to the received coordinate information regarding to the interested region, with the illumination patterns changing among the fields of view.

The present disclosure provides flow cell devices, systems, and methods for facilitating and performing DNA sequencing analysis with reduced system complexity and cost, significant cost of goods saving, and reduced contamination level. The sequencing systems described herein permit processing of multiple flow cells simultaneously, such that sequencing and imaging steps, or multiple sequencing methods, can be performed in parallel using a single sequencing system.

A system and method for image-guided microscopic illumination are provided. A processing module controls an imaging assembly such that a camera acquires an image or images of a sample in multiple fields 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 coordinate information of an interested region in each field of view. The processing module also controls an illuminating assembly to illuminate the interested region of the sample according to the received coordinate information regarding to the interested region, with the illumination patterns changing among the fields of view.

In a computer-implemented method for controlling a microscope, a textual input describing a desired microscope image and an employed sample is received. The textual input and an overview image of the employed sample are input into a large language model, which is trained to process the textual input and the overview image together to calculate microscope settings for capturing a microscope image that corresponds to the desired microscope image. A microscope image is then captured with these calculated microscope settings.

Methods include generating a modulated light pattern using a light modulator (108), transmitting the modulated light pattern through an objective lens (104) to a surface of a substrate (150), where the objective lens (104) defines an object plane, obtaining a plurality of images of the modulated light pattern reflected from the surface of a substrate (150), where each modulated light pattern is obtained at a different relative distance between the objective lens (104) and the substrate surface, analyzing the plurality of images to determine a reference location of the substrate surface relative to the objective lens (104) that corresponds to positioning of an image of the modulated light pattern formed by the objective lens (104) at the object plane, and adjusting a position of the substrate (150) relative to the objective lens (104) based on the reference location.

Provided herein are methods of detecting single molecules that include binding single molecules in a sample solution to a first surface of an optically transparent substrate include the optically transparent substrate is free of a metallic coating. In some embodiments, the methods include irradiating the first surface of the substrate with an incident light having an incident angle selected to achieve total internal reflection of the incident light, thereby scattering light from the first surface and from the single molecules bound to the surface in which a wavelength of the incident light is between 10 nm and 350 μm and the optically transparent substrate has a refractive index at the wavelength of the incident light exceeding that of the sample solution, and collecting an image that captures interference between evanescent light scattered from the single molecules and the first surface. Systems and additional methods are also provided.

The invention discloses a real-time automatic focusing method based on interference fringe phase extraction, and the method specifically comprises the steps: importing an initial interference image, setting a focusing state position as an initial phase shift value, and carrying out the zero setting of the initial phase shift value; when the detection system runs, keeping interference image video stream input, and calculating a phase shift value and a phase value in real time through an improved iterative algorithm; and the calculation result is converted into a defocusing value, and the PZT controller is controlled to complete focusing. According to the automatic focusing method provided by the invention, the defocusing amount is obtained according to the phase movement of the interference fringes, a high-precision displacement measurement method is introduced into the automatic focusing technology, and compared with a traditional microscopic focusing method, the focusing precision is improved in a breakthrough manner, and the method has very high innovativeness; based on an interference image method, phase information closest to reality is extracted through iterative operation, real-time processing is continuously carried out through video streams of interference images, the operation speed is high, and real-time focusing can be completed in the scanning process of a detection system.

The invention provides an electron microscope automatic focusing method and system based on a deep learning model, and relates to the technical field of electron microscope automatic focusing, and the method comprises the steps: collecting a plurality of images at different focusing distances through an electron microscope, and recording the focusing distance of each image; calculating the characteristic value of each collected image, combining the focusing distance and the characteristic value of the image into a characteristic vector, and generating a characteristic sequence according to the characteristic vectors obtained under different focusing distances; training a pre-constructed neural network model by using the feature sequence to obtain a trained neural network model; and inputting a to-be-tested image into the trained neural network model, calculating a difference value between the predicted optimal focusing distance and the focusing distance of the collected image, and judging whether the difference value is within a set range or not. According to the invention, the microscopic image acquisition efficiency and quality are obviously improved.

A surgical microscope lighting control system comprising a controller configured to: estimate or determine a lighting need of a surgeon during at least part of a surgical procedure based at least on a viewing status of a region of illumination, wherein the viewing status of the region of illumination is estimated or determined (a) based at least on whether or not the region of illumination is being displayed, or (b) based at least on tracking data of the surgeon or a head-mounted display; determine an adjustment to be made to an illumination provided by a lighting unit of a surgical microscope based on the lighting need; and in response to determining the adjustment, send a first signal to the lighting unit to change the illumination according to the adjustment.

The invention discloses a high-power microscope intelligent scanning method for a bone marrow smear, which comprises the following steps: S1, automatically dividing a scanning area: acquiring a bone marrow smear image by adopting a front camera, and selecting an optimal scanning area through a multi-dimensional quality evaluation model; s2, intelligent partitioning and focusing point distribution: dividing an optimal scanning area into N * M sub-areas, determining P focusing sampling points by adopting a layered sampling strategy, and establishing a three-dimensional coordinate mapping table; s3, multi-point focusing data acquisition: according to a preset coordinate mapping table, driving an objective table and an objective lens assembly to move to each sampling point in sequence, and constructing an N * M * P-dimensional focusing data matrix; s4, performing focal plane fitting by a least square method: performing three-dimensional plane fitting on the acquired data; and S5, intelligent scanning imaging: calculating the theoretical optimal focal length of each position in the scanning path according to the fitting function, and driving the objective lens assembly to adjust the focal length in real time for scanning imaging. According to the invention, the scanning area identification accuracy and the image definition uniformity are automatically improved in the whole process.

The invention discloses a two-photon imaging system and method based on vector light field regulation and control, and belongs to the technical field of microscopic imaging. The two-photon imaging system comprises a laser beam expanding module, a vector light field modulation module, a light beam scanning module and an imaging module which are arranged in sequence; the laser beam expanding module comprises a laser, a first half-wave plate, a first polarization beam splitter, a first lens and a second lens which are arranged in sequence; a laser beam generated by the laser passes through the first half-wave plate and the first polarization beam splitter for laser power adjustment, and then passes through the first lens and the second lens for beam diameter adjustment. According to the two-photon imaging system based on vector light field regulation and control, the focal field is regulated and controlled by regulating and controlling the amplitude, the phase and the polarization of the vector light field, and the imaging resolution or the volume imaging speed of the system can be improved.

The invention provides a flat-field apochromatic objective lens and an optical microscope, and relates to the technical field of optical imaging. The flat-field apochromatic objective lens comprises a first lens group, a second lens group and a third lens group which are sequentially arranged from an object plane to an image plane, both the first lens group and the second lens group have positive refractive power, the third lens group has positive refractive power or negative refractive power, the first lens group comprises at least two sub-lens groups with positive refractive power, and the second lens group comprises at least two sub-lens groups with negative refractive power. The sub-lens group is a single lens or a balsaming lens formed by gluing at least two single lenses, and the second lens group comprises at least one balsaming lens with positive refractive power and at least one balsaming lens with positive refractive power or negative refractive power. The third lens group includes at least one cemented lens having a positive refractive power and at least one cemented lens having a positive refractive power or a negative refractive power. On the basis, the flat-field apochromatic objective lens has a large field of view, a large numerical aperture and a long working distance.

The invention discloses a rapid automatic focusing module and method suitable for a fluorescence microscope. The automatic focusing module comprises a laser, a diaphragm, a collimating lens group, a reflector, a dichroic mirror, an objective lens, a sample to be measured, a telescope lens group, a CCD2 detector, a control system and a displacement platform which are sequentially arranged along a focusing light path, and the sample to be measured, the objective lens, the dichroic mirror, a tube lens and the CCD2 detector which are sequentially arranged along an imaging light path; the collimated laser beam is emitted to the plane where the sample to be detected is located through the objective lens, and then the laser beam is reflected back to the telephoto lens group and converged to the CCD2 detector. According to the offset of the center of the reflected light beam, the relative distance between the objective lens and the to-be-tested sample is moved through a control system, and automatic focusing of a single view field of the to-be-tested sample is achieved; the to-be-measured sample is moved to the focal planes of different object view fields in the X direction and the Y direction and is quickly focused in real time, so that the large-size to-be-measured sample is always kept at the focal plane position, and the image quality and the working efficiency are improved.

The embodiment of the invention provides a microscope objective and a microscope. The microscope objective comprises a first lens group, a second lens group and a third lens group which are sequentially arranged from an image space to an object space. The first lens group has negative refractive power and is at least used for correcting coma. The first lens group comprises a first cemented lens, and the first cemented lens comprises a first lens and a second lens which are cemented. The second lens group has positive focal power and is at least used for correcting astigmatism, field curvature and distortion. The second lens group comprises a second balsaming lens, a third balsaming lens and a fourth balsaming lens. The second bonding lens comprises a third lens and a fourth lens, the third bonding lens comprises a fifth lens and a sixth lens, and the fourth bonding lens comprises a seventh lens and an eighth lens. The third lens group has positive focal power and is at least used for correcting spherical aberration. And the third lens group comprises a ninth lens, a fifth bonding lens and a twelfth lens, and the fifth bonding lens comprises a tenth lens and an eleventh lens which are bonded.

Hybrid unmixing technique (HyU) of this disclosure may provide enhanced imaging of multiplexed fluorescence labels, enabling longitudinal imaging of multiple fluorescent signals with reduced illumination intensities. This disclosure generally relates to imaging systems. This disclosure relates to hyperspectral imaging systems. This disclosure further relates to hyperspectral imaging systems that generate an unmixed color image of a target. This disclosure further relates to a hyperspectral imaging system that is configured to use a hybrid unmixing technique to provide enhanced imaging of a target. This disclosure further relates to a hyperspectral imaging system that is configured to use a hybrid unmixing technique to provide enhanced imaging of multiplexed fluorescence labels, enabling longitudinal imaging of multiple fluorescent signals with reduced illumination intensities. This disclosure further relates to hyperspectral imaging systems that are used in diagnosing a health condition.

An apparatus and method for detecting content of interest on a slide using machine learning. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a first image, comprising a macro image, identify areas of interest associated with the grids of the first image, receive a second image comprising a high magnification image associated with the areas of interest of the first image, classify, using at least a probed point, the grids of the first image, wherein classifying the grids of the first image includes classifying the grids into accepted grids of the grids and rejected grids of the grids, scan, using the image capturing device, the accepted grids to generate an output image, and display, using a display device, the output image.