The present invention is directed to a method of identifying, isolating, and enabling downstream analysis of circulating tumor cells comprising contacting a blood or blood serum sample of a subject with a composition comprising a phospholipid ether analog bound to a luminescent molecule or a magnetic bead and subjecting the blood or blood serum sample of the subject to fluorescent microscopy, flow cytometry or magnetic isolation.

An analyzer of a component in a sample fluid includes an optical source and an optical detector defining a beam path of a beam, wherein the optical source emits the beam and the optical detector measures the beam after partial absorption by the sample fluid, a fluid flow cell disposed on the beam path defining an interrogation region in the a fluid flow cell in which the optical beam interacts with the sample fluid and a reference fluid; and wherein the sample fluid and the reference fluid are in laminar flow, and a scanning system that scans the beam relative to the laminar flow within the fluid flow cell, wherein the scanning system scans the beam relative to both the sample fluid and the reference fluid.

Disclosed herein include systems, devices, computer readable media, and methods for subsampling flow cytometric event data. First and second flow cytometric event data can be transformed into a lower-dimensional space, associated with a plurality of bins, and assigned to a first bin and a second bin. Subsampled flow cytometric event data comprising the first flow cytometric event data can be generated. The subsampled flow cytometric event data can comprise the second flow cytometric event data if the first bin and the second bin are different. The subsampled flow cytometric event data may not comprise the second flow cytometric event data if the first bin and the second bin are identical.

A method for measuring concentrations of blood cell components is provided. The method comprises: obtaining a blood sample from a subject, the blood sample comprising at least one of red blood cells (RBCs), white blood cells (WBCs), and platelets (PLTs); mixing the blood sample with a non-lysing aqueous solution to form a sample mixture comprising a predetermined tonicity; passing the sample mixture through a flow cell; emitting light towards the flow cell; measuring at least one of an amount of light absorbed by the RBCs to obtain an RBC absorption value, an amount of light scattered by WBCs to obtain a WBC scatter value, and an amount of light scattered by PLTs to obtain a PLT scatter value; and determining a concentration of at least one of the RBCs, WBCs, and PLTs present in the sample mixture.

Systems and methods of assessing a probability that an individual will develop sepsis are provided. The systems and methods can include obtaining a set of parameters associated with the individual including white blood cell count (WBC) and monocyte distribution width (MDW) value, and determining whether the set of parameters provides an elevated risk status by comparing at least the WBC and the MDW value with respective predetermined criteria. In the event that the set of parameters is determined to provide the elevated risk status, the systems and methods can further include obtaining a secondary parameter associated with the individual; and providing the probability that the individual will develop sepsis.

A method for determining a state of a cell, the cell being placed in a sample, in contact with a culture medium, the method comprising: illuminating the sample with a light source and acquiring an image of the sample with an image sensor, the image sensor lying in a detection plane; from the acquired image, locating a position of the cell in a plane parallel to the detection plane; the method further comprising: from the acquired image, estimating a refractive index of the cell or a relative refractive index of the cell, the relative refractive index corresponding to a refractive index of the cell relative to the refractive index of the culture medium; from the estimation of the refractive index or of the relative refractive index, determining an index of interest of the cell; from the index of interest, classifying a state of the cell among predetermined states, the predetermined states comprising at least one apoptosis state and one living state.

A fluorescence microscopy method includes a trained deep neural network. At least one 2D fluorescence microscopy image of a sample is input to the trained deep neural network, wherein the input image(s) is appended with a digital propagation matrix (DPM) that represents, pixel-by-pixel, an axial distance of a user-defined or automatically generated surface within the sample from a plane of the input image. The trained deep neural network outputs fluorescence output image(s) of the sample that is digitally propagated or refocused to the user-defined surface or automatically generated. The method and system cross-connects different imaging modalities, permitting 3D propagation of wide-field fluorescence image(s) to match confocal microscopy images at different sample planes, The method may be used to output a time sequence of images (e.g., time-lapse video) of a 2D or 3D surface within a sample.

A device for optically detecting in transmission nanoparticles moving in a fluid sample includes a light source for emitting a spatially incoherent beam for illuminating the sample; an imaging optical system; and a two-dimensional optical detector. The imaging optical system includes a microscope objective. The two-dimensional optical detector includes a detection plane conjugated with an object focal plane of the microscope objective by said imaging optical system. The two-dimensional optical detector allows a sequence of images of an analysis volume of the sample to be acquired, each image resulting from optical interferences between the illuminating beam incident on the sample and the beams scattered by each of the nanoparticles present in the analysis volume during a preset duration shorter than one millisecond. The device further includes an image processor that allows an average of a sequence of said images to be taken and said average to be subtracted from each image in order to determine, for each nanoparticle of the analysis volume, the amplitude of the scattered beam.

A method for analyzing sample cells reacting with at least one specific marker, includes providing a reference sample and an active sample and providing a set (E.sup.+) of cells declared positive from among the active sample cells. The method further includes determining a vector coefficient (θ) from the active sample and from the set (E.sup.+) and determining at least one set of positive cells in the reference sample as a function of the vector coefficient (θ). A rate of false positives (α) is calculated in the reference sample from the number of positive cells of the reference sample.

An apparatus and a method for diagnosing a tumor are provided. A histogram generating section generates a histogram from a result of a measurement of fluorescence intensity of a suspension produced from a target sample. The histogram indicates a relation between the fluorescence intensity and the number of cells. A determination section detects an S phase fluorescence intensity range corresponding to S phase cells based on the fluorescence intensity corresponding to a peak of the number of cells in the histogram, detects an abnormal fluorescence intensity range corresponding to tumor cells, based on a change in the number of cells in the S phase fluorescence intensity range, and performs a diagnosis of a tumor in the target sample based on an index of the number of cells in a range defined by excluding the abnormal fluorescence intensity range from the S phase fluorescence intensity range.