Abstract: A system and method for analyzing multi-dimensional images includes a high content imaging system that includes an image capture device. An image acquisition module receives a series of images of a biological sample captured by the image capture device, and the series of images includes a sequence of image planes. A human interface module receives from a user computer specifications of a first image analysis step and a second image analysis step. The first image analysis step specifies a first image processing operation that processes an image plane of a series of images in accordance with at least another image plane of the series of images and the second image analysis step specifies a second image processing operation that processes each image plane of a series of images independently of the other image planes of the series.

Abstract: The invention relates to the automated determination of the staining quality of an IHC stained biological sample. A plurality of features is extracted from a digital IHC stained tissue image. The features are input into a first classifier configured to identify the extended tissue type of the depicted tissue as a function of the extracted features. An extended tissue type is a tissue type with a defined expression level of the tumor marker. In addition, the extracted features are input into a second classifier configured to identify a contrast level of the depicted tissue as a function of at least some second ones of the extracted features. The contrast level indicates the intensity contrast of pixels of the stained tissue. Then, a staining quality score of the image is computed as a function of the identified extended tissue type and the identified contrast level.

Abstract: The subject disclosure presents systems and computer-implemented methods for automatic immune cell detection that is of assistance in clinical immune profile studies. The automatic immune cell detection method involves retrieving a plurality of image channels from a multi-channel image such as an RGB image or biologically meaningful unmixed image. A cell detector is trained to identify the immune cells by a convolutional neural network in one or multiple image channels. Further, the automatic immune cell detection algorithm involves utilizing a non-maximum suppression algorithm to obtain the immune cell coordinates from a probability map of immune cell presence possibility generated from the convolutional neural network classifier.

Abstract: Embodiments of present disclosure discloses system and method for acquisition of optimal images of object in multi-layer sample. Initially, images for FOV of multi-layer sample comprising objects are retrieved. Each of images are captured by varying focal depth of image capturing unit associated with system. Further, objects associated with multi-layer sample in FOV are identified. For identification, cumulative foreground mask of FOV is obtained based on adaptive thresholding performed on foreground image of FOV. Based on contour detection performed on cumulative foreground mask of FOV, object masks, corresponding to objects, is obtained for identifying objects. Further, sharpness of each of images associated with each of object masks is computed. Based on sharpness, optimal images from images for each of objects is selected for acquisition of optimal images of objects in multi-layer sample.

Abstract: An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

Abstract: A microscopy system provides for scanning a sample by a microscope, which is at least in part electrically or electronically controllable and in which a plurality of images or digital images are generatable in a scanning operation at different times and/or different locations of the sample. The microscopy system includes a control computer configured to control the microscope, as well as further computers that are integratable into the microscopy system such that an adaptation of the microscopy system is possible dynamically and/or during the scanning operation using at least one of the further computers.

Abstract: An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

Abstract: The present embodiments relate to denoising medical images. By way of introduction, the present embodiments described below include apparatuses and methods for machine learning sparse image representations with deep unfolding and deploying the machine learnt network to denoise medical images. Iterative thresholding is performed using a deep neural network by training each layer of the network as an iteration of an iterative shrinkage algorithm. The deep neural network is randomly initialized and trained independently with a patch-based approach to learn sparse image representations for denoising image data. The different layers of the deep neural network are unfolded into a feed-forward network trained end-to-end.

Abstract: A method and system for analyzing cardiac periodicity includes a processor, a display device, and a probe. The method and system includes acquiring ultrasound data from cardiac tissue with the probe, generating an m-mode image from the ultrasound data with the processor, displaying the m-mode image on the display device, selecting a portion of the m-mode image exhibiting periodic motion, analyzing the portion of the m-mode image with the processor to determine a cardiac periodicity, and displaying a graphical representation of the cardiac periodicity on the display device.

Abstract: This information processing apparatus includes: a search image acquisition unit that acquires enlarged images at focal positions different from each other; a first feature amount calculation unit that obtains, for each of the multiple captured enlarged images, a first feature amount based on a direct current component and a dynamic range of an alternating current component of pixel values for each of blocks forming each of the enlarged images; and an in-focus position determination unit that determines an in-focus position of each enlarged image based on the first feature amount.

Abstract: Embodiments of the present invention provide a computer-implemented method of determining temporal behaviour of an object, comprising receiving image data comprising data representing a plurality of images, at least some of the images comprising one or more cells, determining a plurality of characteristics of at least one feature in each of one or more of the plurality of images, determining a confidence value representing a confidence that one of the cells in a first one of the plurality of images corresponds to a feature in a second one of the plurality images, wherein the confidence value is based upon the characteristics of the feature in the second image and the characteristics of the cell, and identifying the cell in the second one of the plurality of images based upon the confidence value.

Abstract: Input data of an input request is received. The input data includes a set of attributes. For each attribute of the set of attributes, a weight is assigned to the attribute based, at least in part, upon historical data relating to workflow performance, to form a respective corresponding weighted attribute. A process priority value is assigned to the input data of the input request based, at least in part, upon on the weighted attributes.

Abstract: A pseudo H&E image producing method, including: inputting a grayscale interference image or a grayscale reflected image of a pathological sample to a first memory block of an information processing apparatus, and inputting a grayscale fluorescence image of the pathological sample to a second memory block of the information processing apparatus; using the information processing apparatus to perform a first color transform operation on the grayscale interference image or the grayscale reflected image to generate a first RGB image, and using the information processing apparatus to perform a second color transform operation on the grayscale fluorescence image to generate a second RGB image; and using the information processing apparatus to perform an image fusion operation and an intensity reversal operation on the first RGB image and the second RGB image to generate a pseudo H&E image. The present invention also discloses an optical system using the method.

Abstract: A locating method and system of determining a microorganism concentration of a fluid in a Petri dish is disclosed. The Petri dish includes a culture medium on which a seeding device is rotatable relative to the Petri dish. The seeding device distributes the fluid and includes at least one point of contact with the culture medium. The point of contact is associated with a contact zone.

Abstract: An observation apparatus includes: an area calculation unit that calculates a colony area based on an image in which a cell colony is captured; a cell number calculation unit that calculates, based on the image, the number of cells included in a target colony of which an area is calculated by the area calculation unit; and a density calculation unit that calculates, based on the area of the target colony calculated by the area calculation unit and the number of the cells included in the target colony calculated by the cell number calculation unit, a density of the cells included in the target colony.

Abstract: In some aspects, the described systems and methods provide for a method for training a statistical model to predict tissue characteristics for a pathology image. The method includes accessing annotated pathology images. Each of the images includes an annotation describing a tissue characteristic category for a portion of the image. A set of training patches and a corresponding set of annotations are defined using an annotated pathology image. Each of the training patches in the set includes values obtained from a respective subset of pixels in the annotated pathology image and is associated with a corresponding patch annotation determined based on an annotation associated with the respective subset of pixels. The statistical model is trained based on the set of training patches and the corresponding set of patch annotations. The trained statistical model is stored on at least one storage device.

Abstract: The methods herein can allow for the optimised selection and isolation, within a respective population, of elements of interest and/or utility for a series of subsequent operations. A method can include the phases of: a) identifying, for each particle, at least one of a plurality of characteristic parameters; b) selecting the particles of interest, comparing for each of these the at least one parameter with a respective reference parameter. It can furthermore include the phases of c) storing, for each of the particles, the at least one parameter identified; d) processing the value of a function of the stored parameter, associating the function with a criterion for selection of the particles of interest chosen from a group of possible selection criteria; e) establishing for each particle a threshold criterion to be used as reference parameter. The threshold criterion is established on a time by time basis according to the result of the above processing.

Abstract: The invention relates to a method for inspecting a sample with an assembly comprising a scanning electron microscope (SEM) and a light microscope (LM). The assembly comprises a sample holder for holding the sample. The sample holder is arranged for inspecting the sample with both the SEM and the LM, preferably at the same time. The method comprising the steps of: capturing a LM image of the sample in its position for imaging with the SEM; determining a position and dimensions of a region of interest in or on the sample using the LM image; determining values to which the SEM parameters need to be set to image the sample at a desired resolution; and capturing a SEM image of the region of interest, preferably using the first electron beam exposure of said region of interest.

Abstract: In one exemplary embodiment in accordance with the disclosure, an image processing system is configured to use a distance authentication template to execute a detection procedure that detects at least one non-linear distortion in a subject image. The distance authentication template can be generated by mapping a set of spatial coordinates of three features in a distortion-free image to a set of pixel coordinates of the three features in the distortion-free image. Addressing a non-linear distortion in the subject image can include performing remedial actions to remedy the non-linear distortion, or taking into consideration the non-linear distortion when using the distance authentication template to identify one or more features in the subject image.

Abstract: According to one embodiment of the present invention, a terahertz wave concentrating module can comprise: a first lens for changing a terahertz wave, which is emitted while a terahertz Bessel beam penetrates an object to be inspected, so as to have a small angle; and a second lens for concentrating, on a detector, the terahertz wave having passed through the first lens.

Abstract: Embodiments access an image of a region of interest (ROI) demonstrating cancerous pathology; extract radiomic features from the ROI; define a radiomic feature expression scene based on the ROI and radiomic features; generate a cluster map by superpixel clustering the expression scene; generate an expression map by repartitioning the cluster map into expression levels; compute a textural and spatial phenotypes for the expression map based on the expression levels; construct a radiomic spatial textural (RADISTAT) descriptor by concatenating the textural and spatial phenotypes; provide the RADISTAT descriptor to a machine learning classifier; receive, from the machine learning classifier, a first probability that the ROI is a responder or non-responder, or a second probability that the ROI will experience long-term survival or short-term survival, based, at least in part, on the RADISTAT descriptor; and generate a classification of the ROI as a responder or non-responder, or long-term survivor or short-term surv

Abstract: The present invention is directed to a method for detection of microbial colonies on a surface, comprising the steps of obtaining one or a plurality of digital images I0, I1, I2, I3, I4 of the surface, said digital images I0, I1, I2, I3, I4 being represented by at least two-dimensional matrices of pixel values, calculating a statistical noise distribution based on at least one of the digital images I0, applying the statistical noise distribution calculated in the calculation step to the one or the plurality of digital images I0, I1, I2, I3, I4, and detecting an object of interest as a candidate for a microbial colony based on deviation of pixel values from the noise distribution.

Abstract: Provided is a technology in which an image accurately representing a distribution of an area where a specific portion of a cell in an image capturing a cell morphology is captured can be stably acquired. In order to provide the technology, an acquisition unit acquires a virtual cell distribution image in which a distribution of an assumed cell area to be assumed that a specific portion of a cell in a cell morphology image capturing a cell morphology is represented by a plurality of cell display elements, and one or more cell display elements of the plurality of cell display elements is depicted according to an operation of a user. An arithmetic unit obtains a characteristic value relevant to characteristics in appearance and characteristics in appearance of corresponding one or more assumed cell areas in the cell morphology image, with respect to each of the one or more cell display elements described above.

Abstract: A system for testing a camera for vision system for a vehicle includes providing a camera having a field of view and providing and disposing a test structure in the field of view of the camera and between the camera and a target. The test structure includes at least one optic and is capable of directing a principal axis of the at least one optic toward multiple respective regions of the target. The camera views the target via the at least one optic. Image data is captured with the camera. The captured image data is representative of images of the target including the multiple regions of the target as captured when the at least one optic has its principal axis directed toward the respective regions of the target. The image data captured by the camera is processed to determine the focus at each of the multiple regions of the target.

Abstract: An apparatus according to an embodiment of the present invention enables measurement and visualization of a refractive field such as a fluid. An embodiment device obtains video captured by a video camera with an imaging plane. Representations of apparent motions in the video are correlated to determine actual motions of the refractive field. A textured background of the scene can be modeled as stationary, with a refractive field translating between background and video camera. This approach offers multiple advantages over conventional fluid flow visualization, including an ability to use ordinary video equipment outside a laboratory without particle injection. Even natural backgrounds can be used, and fluid motion can be distinguished from refraction changes. Embodiments can render refractive flow visualizations for augmented reality, wearable devices, and video microscopes.

Abstract: A non-transitory computer readable storage medium stores a set of program instructions for a workflow generating apparatus including a processor and a display. The workflow generating apparatus is capable of generating a workflow by combining a plurality of jobs. The set of program instructions, when executed by the processor, causes the workflow generating apparatus to perform: receiving a selection of one job to be added to the workflow from among a plurality of selectable jobs; acquiring input data to be inputted to the one job; specifying, on the basis of the acquired input data, output data to be outputted by execution of the one job, the output data being usable as input data for a job to be executed after execution of the one job in the workflow; and displaying, on the display, the specified output data in a distinguishable manner.

Abstract: Disclosed, among other things, is a computer device and computer-implemented method of classifying cells within an image of a tissue sample comprising providing the image of the tissue sample as input; computing nuclear feature metrics from features of nuclei within the image; computing contextual information metrics based on nuclei of interest with the image; classifying the cells within the image using a combination of the nuclear feature metrics and contextual information metrics.

Abstract: An information processing apparatus according to an embodiment includes a memory and one or more processors configured to function as a map acquisition unit, a filtering unit and a converting unit. The map acquisition unit acquires a polar coordinate map specifying first occupancy of a target in a polar coordinate space. The filtering unit performs filtering on the polar coordinate map using filtering windows of sizes corresponding to a distance from a reference position. The converting unit converts the filtered polar coordinate map into a rectangular coordinate space.

Abstract: According to the present invention, an imaging condition setting method includes an object discriminating step S1-1 of discriminating the object by using images, a discriminable range generating step S1-2 of generating a discriminable range that is a range of the imaging conditions under which the object is discriminable, an identification determination result range generating step S1-2 of generating an identification determination result range that is a range of the imaging conditions under which the objects are determined as identical, an imaging condition setting rule generating step S1-4 of generating an imaging condition setting rule that is a rule for changing an imaging condition by using the discriminable range and the identification determination result range, and an imaging condition setting step S2-4 of setting an imaging condition under which the object is discriminable by using the imaging condition setting rule generated by the imaging condition setting rule generating step.

Abstract: The present disclosures relates to a method of detecting, classifying, and counting dots in an image of a tissue specimen comprising detecting dots in an image of the tissue sample that meet criteria for absorbance strength, black unmixed image channel strength, red unmixed image channel strength, and a difference of Gaussian threshold, wherein the detected dots correspond to in situ hybridization signals in the tissue samples; classifying the detected dots as belonging to a black in situ hybridization signal or to a red in situ hybridization signal; and calculating a ratio of those dots belonging to the black in situ hybridization signal and those belonging to the red in situ hybridization signal.

Abstract: Immunohistochemistry (IHC) and in situ hybridization (ISH) have the aim of detecting, localizing and quantifying certain analytes for various diagnostic purposes. The quality of the stains which are analyzed may deviate for various reasons. Therefore, the present invention provides a method and system for assessing the stain quality and for establishing objective criteria for assessing the stain quality for application in the fields of in-situ hybridization and immunohistochemistry.

Abstract: The device for the microbiological analysis of a support adapted to contain microorganisms marked by a fluorophore agent, said agent being adapted to absorb light energy with an absorption spectrum (53) having a crest (53?) at a predetermined absorption wavelength (?2) and to release that energy by emitting light with an emission spectrum (54) having a crest (54?) at a predetermined emission wavelength (?3) distinct from said absorption wavelength (?2), comprises illuminating means; the spectrum (55) of the excitation light coming from the illuminating means having a crest (55?) at a predetermined excitation wavelength (?1) with a predetermined difference between the excitation (?1) and absorption (?2) wavelengths by virtue of which it is made easy to discriminate the light emitted by said fluorophore agent from that coming from the illuminating means.

Abstract: The invention relates to an automated method for the optical analysis of structures, in particular for the analysis and determination of biological cellular structures, and to an apparatus for this purpose, wherein an electro-optical unit generates an electronic image of two- and three-dimensional structures present in the sample, a storage medium stores the image, a computer-controlled displacement device establishes an optimized image sharpness of the image by changing the distance between sample and the optical unit, wherein the displacement device is controlled by contrast analysis and color value detection, and a computer unit compares the images generated by the electro-optical unit of two- and/or three-dimensional structures with the known structures stored in a database, and the structures registered by the optical unit are assigned by means of an algorithm to characteristic grids, structures or patterns.

Abstract: A system predicts the recurrence of cancer. A first slice of a prostate tissue sample is stained so that luminal epithelial cells and basal epithelial cells are stained different colors. A first digital image is taken of the first slice. The second slice of the sample is stained so that M1 type macrophages and M2 type macrophages are differentially stained. A second digital image is taken of the second slice. The system analyzes the first digital image and defines regions of non-intact glands. Intact gland regions are then determined, and regions of stroma are identified. The system defines influence zones between non-intact regions and stroma regions. Using information from the second image, macrophages in the tissue corresponding to the influence zones are identified and counted. Based at least in part on this count, the system determines a score. The score is indicative of whether the patient will experience PSA recurrence.

Abstract: A learning method for a CNN (Convolutional Neural Network) capable of encoding at least one training image with multiple feeding layers, wherein the CNN includes a 1st to an n-th convolutional layers, which respectively generate a 1st to an n-th main feature maps by applying convolution operations to the training image, and a 1st to an h-th feeding layers respectively corresponding to h convolutional layers (1?h?n?1)) is provided. The learning method includes steps of: a learning device instructing the convolutional layers to generate the 1st to the n-th main feature maps, wherein the learning device instructs a k-th convolutional layer to acquire a (k?1)-th main feature map and an m-th sub feature map, and to generate a k-th main feature map by applying the convolution operations to the (k?1)-th integrated feature map generated by integrating the (k?1)-th main feature map and the m-th sub feature map.

Abstract: Systems, methods and devices for determination of disease class scores for patient tissue are disclosed. The disease class scores may be based on the probability or probability-like metric for a disease condition or outcome. The system includes an imaging apparatus and a computing system with instructions executable by a processor. The computer system may locate one or more points-of-interest on the pre-processed images of the patient tissue using a point-of-interest detector and generate one or more disease spatial maps including one or more probability or probability-like metric of disease classifications on the detected points-of-interest. The information in the disease spatial maps is aggregated to produce disease class scores.

Abstract: A system and method for classifying a sample are provided. The system includes a housing containing the sample, a sensing element to measure at least one physical parameter of the same, and a processor configured to receive and analyze the physical parameter measurement, and to determine if the sample can be classified based on the measurement. If the sample cannot be classified, the processor selects and applies other analytical techniques until the sample is classified. The method includes selecting an analytical technique to apply to a sample, applying the technique to the sample, obtaining the results of the analytical technique, and determining if the sample can be classified based on the analytical technique. The method further includes selecting and applying further analytical techniques if the sample was not classified, until the sample is able to be classified.

Abstract: A system and method of displaying of multiple simultaneous views of a same region of a biological tissue sample. Logical instructions are executed by a processor to perform operations such as receiving a plurality of images of the biological tissue sample, converting the plurality of images to a common reference frame based on the individual metadata of each image, and arranging the plurality of images into a display pattern for simultaneous viewing of different aspects of the imaged biological tissue sample on a display screen. The plurality of images is produced by preprocessing images of the biological tissue sample. Each image shows a view mode of a same region of the biological tissue sample, and each image contains metadata that describe spatial orientation, such as the translation, rotation, and magnification, of the image to bring the plurality of images to a common view.

Abstract: A method for examining and processing a microscopic sample arranged on a slide includes producing reference markings on the slide by a laser beam of a laser microdissection system. A digital image of the sample and the reference markings on the slide is produced by a digital optical imaging device. An image region is defined and first position information data which indicate a position of the image region is generated. The reference markings are identified in the image and second position information data which indicate a position of the reference markings in the image is generated. The reference markings are identified, and third position information data which indicate the position of the reference markings in the laser microdissection system is generated. The first, second and third position information data are correlated and a sample region which corresponds to the image region is processed.

Abstract: A user interface for an instrument that processes samples from sample containers supported on a presentation unit. The user interface includes a presentation unit display that includes a graphical representation of the presentation unit. The presentation unit display receives inputs therein to define instructions for the processing of the samples by the instrument. The presentation unit display also displays a status while the samples are being processed.

Abstract: A microscope system comprises a microscope body, a stage configured to place a slide as an observation target and move in an X direction and a Y direction. The microscope system changes an arrangement of the placed slide with respect to the stage so as to cause a direction indicated by a mark provided on the slide placed on the stage to align with one of the X direction and the Y direction of the stage.

Abstract: Provided is an image processing apparatus that can reduce degradation in image quality due to heat haze and the like. An input image memory 110 stores an input image group 200 and an input image 210. A time-series smoothed image memory 112 stores a time-series smoothed image 220 obtained by time series smoothing. A moving body removed image memory 113 stores a moving body removed image 230 that is a background image. A histogram analyzing unit 130 computes a differential of histograms of partial images for the input image 210 and the time-series smoothed image 220 or the moving body removed image 230, and calculates similarity information between the images. On the basis of the similarity information, a region dividing unit 140 divides the input image 210 into a moving body region, and a region other than the moving body region. An image correcting unit 150 performs image synthesis of the input image 210 or the time series-smoothed image 220, for each of the regions.

Abstract: An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

Abstract: Machine vision processing includes capturing 3D spatial data representing a field of view and including ranging measurements to various points within the field of view, applying a segmentation algorithm to the 3D spatial data to produce a segmentation assessment indicating a presence of individual objects within the field of view, wherein the segmentation algorithm is based on at least one adjustable parameter, and adjusting a value of the at least one adjustable parameter based on the ranging measurements. The segmentation assessment is based on application of the segmentation algorithm to the 3D spatial data, with different values of the at least one adjustable parameter value corresponding to different values of the ranging measurements of the various points within the field of view.

Abstract: The present invention provides a light-field microscope including: an illumination optical system that radiates excitation light onto a sample; and a detection optical system including an objective lens that collects fluorescence generated in the sample as a result of the sample being irradiated with the excitation light by the illumination optical system, an image-acquisition element that acquires an image of the fluorescence collected by the objective lens, and a microlens array disposed between the image-acquisition element and the objective lens. The illumination optical system radiates a beam of the excitation light having a predetermined width in the optical-axis direction of the objective lens so as to include the focal plane of the objective lens onto the sample in a direction substantially perpendicular to the optical axis.

Abstract: A pseudo H&E image producing method, including: inputting a grayscale interference image or a grayscale reflected image of a pathological sample to a first memory block of an information processing apparatus, and inputting a grayscale fluorescence image of the pathological sample to a second memory block of the information processing apparatus; using the information processing apparatus to perform a first color transform operation on the grayscale interference image or the grayscale reflected image to generate a first RGB image, and using the information processing apparatus to perform a second color transform operation on the grayscale fluorescence image to generate a second RGB image; and using the information processing apparatus to perform an image fusion operation and an intensity reversal operation on the first RGB image and the second RGB image to generate a pseudo H&E image. The present invention also discloses an optical system using the method.

Abstract: A method of tracking a cell through a plurality of images includes selecting the cell in at least one image obtained at a first time, generating a track of the cell through a plurality of images, including the at least one image, obtained at different times using a backward tracking, and generating a cell tree lineage of the cell using the track.

Abstract: The properties of a fluid body in the form of a surface-attached droplet/bubble can be determined. A data set is stored describing a plurality of droplets/bubbles of different shapes; each shape is captured as a combination of two or more linear dimensional measurements. For each shape the data set includes one or more parameters describing the relationship between the physical properties of a pair of fluids capable of forming that shape as a surface-attached droplet/bubble disposed in a surrounding fluid medium. A fluid body is provided in the form of a surface-attached droplet/bubble and a plurality of linear dimensional measurements are taken and provided as input to a processing apparatus. Processing apparatus determines from the data set the one or more parameters associated with the shape described by said linear dimensional measurements. Particular the surface tension of a fluid can be found in this way based on simple dimensional measurements.

Abstract: A cell image evaluation device includes an image acquisition unit that acquires a captured image of a cell, a cell evaluation unit that evaluates the cell image, and a maturity information acquisition unit that acquires information related to maturity of the cell. The cell evaluation unit determines a method for evaluating the cell image on the basis of the information related to the maturity.

Abstract: Methods, systems, and devices for skin care are provided. Some embodiments may include a device or system for skin care that may include a skin tool head portion, a skin tool head support that may be coupled with the skin tool head portion, and/or a portable microscope connector that may be configured to couple a portable microscope with the skin tool head support. Some embodiments include a device for skin care that may include a spacer configured to couple with a portable microscope. The spacer includes at least one aperture configured to facilitate the use of a skin tool. Some embodiments include a spacer coupled with a compressible structure configured to preclude a skin tool from contacting a portion of skin when in an uncompressed state and to allow the skin tool to contact the portion of skin when in a compressed state.