The present disclosure relates generally to methods and systems for detecting, characterizing biomarker expression and morphological analysis in cell samples. The methods allow for the use of automated platforms to stain cells for molecular biomarkers and Romanowsky-type staining for cell morphology analysis. Cells that are prepared according to the disclosed methods can also be used in the diagnosis of certain conditions.

The present invention teaches a method of predicting the potential for manifestation of various medical conditions by analyzing human placenta comprising and including determining the need for early monitoring, intervention or potential treatment for medical conditions likely to manifest as a child grows older and investigating the potential for various medical conditions. The method includes selecting and identifying a sample of the placenta to analyze by algorithms and preparing the sample to be analyzed. The sample is captured by obtaining a three-dimensional digital image of the chorionic surface of the sample by a selected capturing device. The physician corrects for errors in the digital image and loads the data into a computer for analysis. The digital image data is analyzed using algorithms to determine the vascular structure of the placenta, which is interpreted and analyzed to determine the potential for manifestation of various medical conditions.

The present invention relates to provide, among other things, the methods, devices, and systems that can simply and quickly collecting and analyzing a tiny amount of vapor condensates (e.g. exhaled breath condensate (EBC)).

Techniques and systems are disclosed for a bioassay that is an in vitro mimic of peripheral nerve generation using the sensory neurons that innervate the peripheral nervous system. In some embodiments, the techniques may assist in detecting the bioactivity or potency of nerve grafts (e.g., processed, acellular human allografts) for fostering or supporting peripheral nerve regeneration. In various embodiments, techniques comprise affixing neurons (e.g., a DRG) to a nerve graft segment to form a test construct; culturing the test construct in a medium; analyzing the test construct to indicate the amount of outgrowing nerve structure; and determining the potency of the nerve graft from a metric derived from the analysis. In some embodiments, techniques and materials may be used to test the effect of a varied test condition on nerve growth.

A discrete attribute value dataset is obtained that is associated with a plurality of probe spots each assigned a different probe spot barcode. The dataset comprises spatial projections, each comprising images of a biological sample. Each image includes a corresponding plurality of discrete attribute values for the probe spots. Each such value is associated with a probe spot in the plurality of probes spots based on the probe spot barcodes. The dataset is clustered using the discrete attribute values, or dimension reduction components thereof, for a plurality of loci at each respective probe spot across the images of the projections thereby assigning each probe spot to a cluster in a plurality of clusters. Morphological patterns are identified from the spatial arrangement of the probe spots in the various clusters.

The present invention aims to provide a method of acquiring data for determination of, and a method of acquiring prediction data on the presence of cancer cells and/or the resistance to anticancer drugs, use of a marker for determining thereof, and a kit for determining thereof, in particular, to determine the resistance to anticancer drugs before administration of the anticancer drugs to patients. The resistance of cancer tissues of cancer patients to anticancer drugs can be determined by detecting polysulfide, which is a marker for the resistance to anticancer drugs, in the cancer tissues of the cancer patients before administration of the anticancer drugs.

A cell detection method and a cell detection device. The cell detection method includes: dividing a liquid sample into a plurality of droplets in a sample detection region so that each of the plurality of droplets includes fewer than ten cells; and performing optical detection on the plurality of droplets in the sample detection region to determine a target droplet including a target cell from the plurality of droplets.

This application provides a method for staging bacterial vaginosis (BV), i.e., determining whether a subject does not have BV, has Stage I BV, or has Stage II BV. The method relies on testing for the number and maturity of shed epithelial cells from a sample of vaginal secretion from the subject. Specific diagnosis of Stage I or Stage II BV allows the clinician to provide a targeted and appropriate treatment or treatment course for the subject.

A racemic hematoxylin formulation is disclosed that includes one or both of a stabilizer compound and an antioxidant. The disclosed composition exhibits sufficient stability to be utilized in an automated staining process. Methods of using and making the stabilized composition also are disclosed.

The present invention relates to systems and methods for tissue processing and imaging including a counterintuitive inverse relationship between protein dye concentration and tissue sample protein content. Varying dye concentration in such a manner affords higher quality fluorescent imaging at depth in tissue when using optical sectioning microscopy or second harmonic generation (SHG) analysis. Methods of the invention thereby provide more usable histopathology images while reducing waste and reagent costs and are of particular utility in combination assays that include simultaneous protein and nuclear staining and SHG analysis.