Some embodiments described herein relate to a method that includes separating an analyte-containing sample via electrophoresis in a capillary. The capillary is loaded with a chemiluminescence agent, such as luminol, that is configured to react with the analyte (e.g., HRP-conjugated proteins) to produce a signal indicative of a concentration and/or quantity of analyte at each location along the length of the capillary. A first image of the capillary containing the analytes and the chemiluminescence agent is captured over a first period of time. A second image of the capillary containing the analytes and the chemiluminescence agent is captured over a second, longer, period of time. A concentration and/or quantity of a first population of analytes at a first location is determined using the first image, and a concentration and/or quantity of a second population of analytes at a second location is determined using the second image.

Disclosed herein are systems and methods for imaging cells. Quantitative phase imaging uses variations in the index of refraction of a sample as a source of endogenous contrast, providing label-free information of sub-cellular structures and allowing for the reconstruction of valuable biophysical parameters, such as cell dry-mass at femtogram scales, mass transport, and sample thickness and fluctuations at nanometer scales. As a result, QPI has become a valuable tool in biology and medicine. However, QPI has suffered from the need for trans-illumination through relatively thin objects in order to gain access to the forward-scattered field, which carries crucial low spatial frequency information of a sample and avoid contributions from multiple scattered light or out-of-focus planes. The disclosed methods and systems can provide for reconstruction of QPI and corresponding analysis for imaging samples of cells in thick samples using an epi-illumination configuration.

Embodiments described herein involve determining an area of interest on a growth media. An overall brightness control value for a plurality of illumination sources configured to illuminate the growth media is calculated. The overall brightness control value generating at least one image that substantially matches a target intensity at the area of interest. An individual brightness value for each illumination source of the plurality of illumination sources is calculated by individually adjusting a brightness of each illumination source to generate at least one image that substantially matches the target intensity in each respective illumination source's area of influence. A calibrated brightness value for each illumination source is determined based on an image intensity with each illumination source turned on at the respective individual brightness value and an intensity that each illumination source generates within each respective area of influence when turned on alone.

Fabrication processing is executed in a chip of an image sensor. An image capturing device includes an image capturing unit (11) mounted on a vehicle and configured to generate image data by performing image capturing of a peripheral region of the vehicle, a scene recognition unit (214) configured to recognize a scene of the peripheral region based on the image data, and a drive control unit (12) configured to control drive of the image capturing unit based on the scene recognized by the scene recognition unit.

This application relates to a target object detection method and apparatus, a non-transitory computer-readable storage medium, and a computer device. The method includes: obtaining a to-be-detected image; inputting the to-be-detected image into a target object detection model; generating, by the target object detection model, a prediction diagram corresponding to the to-be-detected image, the prediction diagram describing a relation degree to which pixels of the to-be-detected image belong to a target detection object; and performing region segmentation on the prediction diagram to obtain a target detection object region. In addition, a method and an apparatus for training an object detection model into the target object detection model, a non-transitory computer-readable storage medium, and a computer device are also provided.

When a user designates a region of interest for a plurality of groups targeted for difference analysis in a microscopic observation image of a sample, an m/z candidate search unit searches for candidates for m/z presumed to differ, based on collected mass spectral data. An intensity histogram creation unit processing unit creates and displays a graph showing a frequency distribution of peak intensities at measurement points included in the ROI of the groups for each of the m/z candidates. If this graph exhibits multimodality, the data distribution is not suitable for a statistical hypothesis test. An intensity range determination unit limits an intensity range in accordance with a user's instruction. Then, ROI correction unit corrects the ROI so as to include only measurement points with peak intensities within the limited intensity range. A test processing unit performs a statistical hypothesis test using the data corresponding to the corrected ROI.

A disposable lens applied to electronic operation device for recognition includes a substrate, a lens and a fix adhesive. It is only necessary for the user to fix the disposable lens to the electronic operation device provided with an image-capturing unit and enable the image-capturing unit to align with a recognized unit to be recognized through the lens, such that the image of the recognized unit is expanded through the lens through optical properties. Thus, the image signal captured by the image-capturing unit is clearer, and then processed by the electronic operation device. Not only compactness with portability enabling the user to recognize the recognized unit immediately, but also the effect of low-priced material are provided due to simple structure of the disposable lens of the present invention. Thereby, relative advantages in volume, convenience and cost are all obtained.

A method of generating an image of a substantially translucent specimen includes illuminating and imaging the specimen based on light filtered by an optical element. A plurality of variably-illuminated relatively low resolution intensity images of the specimen are acquired for which content of the images corresponds to partially overlapping regions in frequency space. A relatively higher resolution image of the specimen is then reconstructed by iteratively updating overlapping regions of the relatively higher resolution image in Fourier space with the plurality of variably-illuminated, relatively lower resolution intensity images. The iterative updating processes the plurality of relatively lower resolution intensity images in a first sequence which progresses from a centre region of the relatively higher resolution image in increasing spatial frequency followed by a second sequence which progresses towards the centre region in decreasing spatial frequency.

Provided is a cell analyzer including: a light source unit configured to apply light to test cells each containing first substances which are bound to first fluorescent dyes and which serve as an index for therapeutic strategy judgement; an image capturing unit configured to capture an image of fluorescence caused by the light; a processing unit configured to process the image obtained by the image capturing unit; and a display unit configured to display a process result obtained by the processing unit, wherein the processing unit obtains a first image by performing an inactivation process of quenching the first fluorescent dyes, an activation process of activating a part of the first fluorescent dyes that have been quenched, and an image capturing process of capturing, by means of the image capturing unit, an image of the fluorescence by applying light from the light source unit to each test cell; extracts bright points based on the first fluorescent dyes on the basis of the first image; classifies the extracted bright points into groups each corresponding to one first substance, thereby to obtain the number of the first substances in the test cell on the basis of the number of the classified groups; obtains therapy index information serving as an index for therapeutic strategy judgement, on the basis of the obtained number of the first substances; and causes the display unit to display the obtained therapy index information.

A system and method for analyzing bodily fluid include a sample holder holding a bodily fluid sample, an image capture device generating an image of the bodily fluid sample comprising a plurality of fields of view. An image processor is programmed to determine a biofilm in the bodily fluid sample from the image, determine a biofilm area or volume within each of the plurality of fields of view to form a plurality of biofilm areas, determine a total biofilm area or total biofilm volume by adding the plurality of biofilm areas, determine a first value corresponding to a comparison of the total biofilm area or the total biofilm volume and a total volume of the bodily fluid sample, and classify the first value into a classification. An analyzer, using the classification, displays an indicator on a display for indicating the classification of the biofilm within the bodily fluid sample.