G02B21/08

Device and method for cancer detection

A cancer cell detection device includes a computer with a database and a display and a microscope coupled to the computer. The microscope has a base upon which a biopsy sample can be placed. The device further includes a camera coupled to the microscope and computer. The camera is configured to capture images of the biopsy sample. The device also has a filter configured to attach to the microscope and a connection feature for connecting the computer to the camera and the filter. The computer further includes a processor that processes the images captured by the camera and classifies the images according to known variables stored in the database.

Systems, methods, and apparatus for differential phase contrast microscopy by transobjective differential EPI-detection of forward scattered light

Systems, methods, and apparatus for differential phase contrast microscopy by transobjective differential epi-detection of forward scattered light are provided. In some embodiments, a microscope objective comprises: a housing with mounting threads at a second end; optical components defining an optical axis, comprising: an objective lens mounted at a first end, configured to collect light from a sample placed in a field of view, the plurality of optical components create a pupil plane at a first distance along the optical axis at which rays having the same angle of incidence on the objective lens converge at the same radial distance from the optical axis; a photodetector within the housing offset from the optical axis at a second distance along the optical axis; and another photodetector within the housing at second distance along the optical axis and offset from the optical axis in the opposite direction from the first photodetector.

Method and system for full-field interference microscopy imaging
11543641 · 2023-01-03 · ·

A system that includes an interference device including a reference arm on which a reflective surface is arranged, where the interference device produces, at each point of an imaging field when the sample is placed on a target arm of the interference device, interference between a reference wave and a target wave obtained by backscattering of incident light waves by means of a voxel of a slice of the sample at a given depth; an acquisition device suitable for acquiring, at a fixed path length difference between the target arm and the reference arm, a temporal series of N two-dimensional interferometric signals resulting from the interference produced at each point of the imaging field; and a processing unit that calculates an image representing temporal variations in intensity between said N two-dimensional interferometric signals.

MICROSCOPE DEVICE, SPECTROSCOPE, AND MICROSCOPE SYSTEM
20220413275 · 2022-12-29 ·

A microscope device includes an opening (31) that includes a first slit and a second slit through which a plurality of pieces of light from an observation target resulting from a plurality of pieces of irradiation light emitted to the observation target and having different wavelengths pass, a dispersion element that wavelength-disperses the plurality of pieces of light passing through the opening (31), and an imaging element (32) that receives the plurality of pieces of light wavelength-dispersed by the dispersion element. The imaging element (32) performs light reception so that, as for the plurality of pieces of light wavelength-dispersed, zeroth-order light of light passing through the second slit and first-order light of light passing through the first slit do not overlap with each other.

REFLECTIVE FOURIER PTYCHOGRAPHY IMAGING OF LARGE SURFACES

Various embodiments include reflective-mode Fourier ptychographic microscope (RFPM) apparatuses and methods for using the RFPM. In one example, the RFPM includes a multiple-component light source configured to direct radiation to a surface. The multiple-component light source has a number of individual-light sources, each of which is configured to be activated individually. The RFPM further includes collection optics to receive radiation reflected and scattered or otherwise redirected from the surface, and a sensor element to convert received light-energy from the collection optics into an electrical-signal output. Other apparatuses, designs, and methods are disclosed.

DEVICE FOR VISUALIZATION OF COMPONENTS IN A BLOOD SAMPLE
20220412871 · 2022-12-29 · ·

A device (100) for visualization of one or more components in a blood sample is disclosed. In one aspect, the device (100) includes an imaging module (110), wherein the imaging module (110) includes a controllable illumination source (102) capable of emitting light in plurality of discrete angles; a tube lens (105); one or more objective lens (104); and an image capturing module (106). Additionally, the device (100) includes a channel (103) configured to carry the blood sample, wherein the channel (103) is capable of sorting the one or more components in the blood sample.

SYSTEM AND METHODS FOR DIFFERENTIAL IMAGING USING A LOCK-IN CAMERA

The present invention describes an imaging system that allows visualization of a wide range of samples both in terms of morphology and in terms of material (e.g. density distribution, varying chemical composition, or anything that induces a change of optical path). The application of this imaging system includes absorptive samples as well as nearly and fully transparent samples with respect to the wavelength of illumination.

Two elements are key in this system: the use of a so-called lock-in camera, and the synchronization of the recording to a modulation of choice along the image forming apparatus. Such modulation can consist for example in modulation of the illumination, use of filters, tilt/rotation of the sample or of certain microscope components.

APPARATUS AND METHOD FOR DETECTING COVERSLIP REGIONS OF A SPECIMEN SLIDE

An apparatus is proposed for identifying respective cover slip regions of respective cover slips having respective tissue sections on a specimen slide, which has multiple optical identifiers. The apparatus includes a planar light source, an image acquisition unit, a holding unit for positioning the specimen slide between the planar light source and the image acquisition unit, a slit diaphragm, which has multiple opening slits, reversibly positionable between the planar light source and the specimen slide, and an illumination unit, which is designed to illuminate that surface of the specimen slide which faces toward the image acquisition unit. Furthermore, the apparatus includes a monitoring unit which is designed, on the basis of a completely illuminated transmitted light image, an incident light image, and a partially darkened transmitted light image, to assign respective tissue sections to respective optical identifiers.

MICROSCOPE FOR TRANSMITTED LIGHT CONTRASTING

A microscope for imaging a sample by a transmitted light contrasting method includes an objective lens holder configured to place an objective lens of a number of objective lenses onto an optical axis of the microscope. The microscope further includes a lens system for forming an intermediate image of an exit pupil of any one of the number of objective lenses placed onto the optical axis. The intermediate image is formed at a respective conjugated plane conjugate to the exit pupil. The microscope further includes a control device configured for automatically positioning a modulation element onto the optical axis at a positon related to the respective conjugated plane.

Microscope and Method with Implementation of a Convolutional Neural Network
20220382038 · 2022-12-01 ·

A method for processing microscope images in order to generate an image processing result comprises: implementing a convolutional neural network, wherein a first convolutional layer calculates an output tensor from an input tensor formed from a microscope image. The output tensor is input into one or more further layers of the convolutional neural network in order to calculate the image processing result. The first convolutional layer comprises a plurality of filter kernels. At least several of the filter kernels are respectively representable by at least one filter matrix with learning parameters and dependent filter matrices with implicit parameters, which are determined by means of the learning parameters and one or more weights to be learned, wherein the filter matrices with learning parameters of different filter kernels are different from one another and different layers of the output tensor are calculated by different filter kernels.