Subpixel line scanning. A slide scanning device comprises a plurality of line sensors (112a, 112b, 112c), each comprising a plurality of pixel sensors. Each line sensor is offset from an adjacent line sensor by a fraction of a length of each pixel sensor, and generates a line image of the same field of view at its respective offset. For each of a plurality of positions on a sample, a processor combines the line images of the same field of view, generated by the plurality of line sensors at their respective offsets, to produce a plurality of subpixels for each of at least a subset of pixels within the line images of the same field of view, and generates an up-sampled line image of the position comprising the plurality of subpixels. Then, the processor combines the up-sampled line images of each of the plurality of positions on the sample into an image.

An image-capturing module successively captures light data in batches for a scene of a whole field of view by adjusting the position of a multifaceted prism, and executes patch process on these batches of the light data to acquire an image over the whole field of view in a higher imaging quality that is generally achieved by a camera module with large number of pixels. The movable multifaceted prism may be together with an image sensing module and a lens module to be within a holder to have a compact volume for an image-capturing mobile phone, wearable device, and/or smart opto-electronics.

The disclosure discloses a data acquiring method and an electronic device thereof. The electronic device comprises an image acquisition unit, the image acquisition unit comprises a light-transparent module and a sensing module, and there is a first position relationship between the light-transparent module and the sensing module. The method comprises: obtaining a first image of a target scene acquired by the image acquisition unit, wherein an image resolution of the first image is first resolution; adjusting the image acquisition unit based on preset moving parameters; obtaining a second image of the target scene acquired by the image acquisition unit; obtaining a third image by processing the first image and the second image based on the moving parameters, wherein image resolution of the third image is third resolution and the third resolution is greater than the first resolution.

Disclosed is a temperature distribution measuring device for measuring the temperature distribution or the heat generation distribution in a sample. An embodiment collects a reflection signal the reflectivity of which changes on the basis of a bias signal applied to a sample, detects a signal of interest, which has been reflected from a region of interest in the sample, from the reflected signal, converts the signal of interest to a frequency range signal, calculates the relative amount of change in reflectivity of the sample by using a direct current component extracted on the basis of filtering of the frequency range signal and a frequency component of the bias signal, and acquires a thermal image of the sample on the basis of the relative amount of change in reflectivity.

An image processing device receives a multi-spectral image and a panchromatic image of a scene. The device extracts a luminosity subcomponent image from the multi-spectral image and upsamples it to generate a luminosity image of a scale intended for a super-resolved image. For each pixel of the luminosity image, the device performs a series of pixel processing and replacement steps, including extracting a first image patch surrounding the pixel and matching it with a plurality of extracted panchromatic image patches, which are smaller than the first image patch by a ratio of a size of the panchromatic image to a size of the luminosity image. The image processing and replacement of the pixels may be iteratively performed to produce a super-resolved image.

Analyte arrays such as solutes in a slab-shaped gel following electrophoresis, and particularly arrays that are in excess of 3 cm square and up to 25 cm square and higher, are imaged at distances of 5 cm or less by either forming sub-images of the entire array and stitching together the sub-images by computer-based stitching technology, or by using an array of thin-film photoresponsive elements that is coextensive with the analyte array to form a single image of the array.

Embodiments of the present application disclose various super-resolution image acquisition methods and acquisition apparatuses, wherein a super-resolution image acquisition method comprises: determining sub-pixel level target offset distances of corresponding logic pixel points in respective to-be-adjusted regions of image sensors of any two adjacent cameras of a camera array, the respective to-be-adjusted regions being imaging regions of the image sensors respectively corresponding to a first region, and the first region being at least a local part of a scene; adjusting pixel point distribution of image sensors of respective cameras in the camera array according to the sub-pixel level target offset distances; acquiring images of the scene respectively based on the cameras after adjustment; and acquiring a super-resolution image of the scene according to the acquired images. The embodiments of the present application improve imaging quality of a sub-image in the super-resolution image corresponding to the first region.

Embodiments of the present application disclose various super-resolution image acquisition methods and acquisition apparatus, wherein one of super-resolution image acquisition methods comprises: determining a to-be-adjusted region of an image sensor of at least one camera in a camera array, the to-be-adjusted region being an imaging region of the image sensor of the at least one camera corresponding to a first region, and the first region being at least a local part of a scene; adjusting pixel point distribution of the image sensor of the at least one camera, to increase the number of pixel points distributed in the to-be-adjusted region; acquiring images of the scene respectively by cameras of the camera array after adjustment; and acquiring a super-resolution image of the scene according to the acquired images. The embodiments of the present application improve imaging quality of a sub-image in the super-resolution image corresponding to the first region.

Systems and methods for implementing array cameras configured to perform super-resolution processing to generate higher resolution super-resolved images using a plurality of captured images and lens stack arrays that can be utilized in array cameras are disclosed. An imaging device in accordance with one embodiment of the invention includes at least one imager array, and each imager in the array comprises a plurality of light sensing elements and a lens stack including at least one lens surface, where the lens stack is configured to form an image on the light sensing elements, control circuitry configured to capture images formed on the light sensing elements of each of the imagers, and a super-resolution processing module configured to generate at least one higher resolution super-resolved image using a plurality of the captured images.

A super resolution optofluidic microscope device comprises a body defining a fluid channel having a longitudinal axis and includes a surface layer proximal the fluid channel. The surface layer has a two-dimensional light detector array configured to receive light passing through the fluid channel and sample a sequence of subpixel shifted projection frames as an object moves through the fluid channel. The super resolution optofluidic microscope device further comprises a processor in electronic communication with the two-dimensional light detector array. The processor is configured to generate a high resolution image of the object using a super resolution algorithm, and based on the sequence of subpixel shifted projection frames and a motion vector of the object.