The present invention is directed to a method of assessing in vivo human glial cell response to pathogenic infection that involves providing a non-human mammal either with at least 30% of its glial cells in its corpus callosum being human glial cells and/or with at least 5% of its glial cells its brain and brain stem white matter being human glial cells, subjecting the non-human mammal to pathogenic infection and assessing the in vivo human glial cell response to pathogenic infection. A method of identifying therapeutic agents for the pathogenic infection as well as forms of the non-human mammal having a pathogenic brain infection are also disclosed.

Provided herein are methods for analysis of target cells on a population or individual basis, including before and after contact with a stimulus in order to determine the effect of such stimulus on the target cells. Also provided are devices for performing such methods. The analysis methods involve identifying and measuring or tracking morphological changes that occur in target cells over a period of time. Tracking is accomplished using imaging systems capable of imaging target cells individually over a period of time either continuously or at discrete intervals of time.

A cell evaluation method evaluates the quality of a cell population including a plurality of cells. The cell evaluation method comprises: an index calculation step of calculating an index, based on a captured image of the cell population, the index including at least any one of an average distance representing a packing degree of the cells, a spring constant representing a degree of consistency in distances between the cells, and a hexagonal order parameter representing a degree to which an arrangement of the cells resembles a regular hexagon; and an evaluation step of evaluating the cell population, based on the index calculated in the index calculation step.

Ex-vivo culture systems are provided. Accordingly there is provided a culture system comprising a culture medium and a precision-cut tissue slice placed on a tissue culture insert, wherein the precision-cut tissue slice is maintained in a highly oxygenated atmosphere containing at least 50% oxygen and wherein said culture is rotationally agitated facilitating intermittent submersion of the tissue slice in the culture medium. Also provided are methods of culturing a tissue and methods of using the culture system for selecting a drug for the treatment of a disease.

Disclosed herein is method and system for determining quality of semen sample. Trajectories of objects, identified in each of plurality of image frames of semen sample, are generated by tracking movement of the objects across image frames, and compensating a drift velocity of the semen sample. Further, generated trajectories are classified into sperm and non-sperm trajectories. Finally, total concentration estimate and total motility estimate of the semen sample are computed to generate a semen quality index, which indicates quality of the semen sample. In an embodiment, the method of present disclosure uses a multi-level Convolutional Neural Network (CNN) analysis technique for effectively classifying the object trajectories into sperm and non-sperm objects. Also, since the present method includes estimating and compensating drift velocity in the semen sample, it enhances overall accuracy of motility estimation and semen quality analysis.

Disclosed herein is method and system for evaluating semen quality. Plurality of images of stained semen sample are captured and analyzed for eliminating unusable images. Further, visible objects in the images are extracted and classified into sperm objects and non-sperm objects. The sperm objects are further classified into normal/abnormal sperm objects based on morphological characteristics of sperm objects, and a differential count of normal/abnormal sperm objects is determined. Subsequently, an aggregate count of the non-sperm objects is determined. Finally, a sperm quality index, indicative of quality of the semen sample, is computed based on morphological characteristics of sperm objects, differential count of normal/abnormal sperm objects, aggregate count of non-sperm objects and total motility estimate of semen sample. The method of present disclosure helps in accurate estimation of the semen quality, since the aggregate count of the non-sperm objects is considered as a crucial parameter for computing the semen quality index.

The invention relates to apparatus and methods for apparatus for detecting presence or monitoring profession of a disease in a biological subject, comprising a chamber in which the biological subject passes through, and at least one detection transducer placed partially or completely in the chamber; wherein information related to properties of cells in the biological subject and of cell-surrounding media is detected by the detection transducer and collected for analysis to determine whether the disease is likely to be present with the biological subject or to determine the status of the disease, thereby providing the ability to continuously determine or monitor progression of the disease.

Use of glu-tubulin as a biomarker for predicting the response to a compound, preferably resistance of a disease such as cancer in a subject to said compound, wherein the compound is a furazanobenzimidazole compound of general formula (I). ##STR00001##

Devices for detecting particle sizes and distributions using focused light scattering techniques, by passing a sample through a focused beam of light, are disclosed. In one embodiment, the devices include one or more lasers, whose light is focused into a narrow beam and into a flow cell, and dispersions are passed through the flow cell using hydrodynamic sample injection. In another embodiment, a plurality of lasers is used, optionally with hydrodynamic sample injection. Particles pass through and scatter the light. The scattered light is then detected using scatter and extinction detectors, and, optionally, fluorescence detectors, and the number and size of the particles is determined. Particles in the size range of 0.1 to 10 .Math. can be measured. Using the device, significantly smaller particles can be detected than if techniques such as EQELS, flow cytometry, and other conventional devices for measuring biological particles.

Aspects of the present disclosure include a method for visualizing a fiber-like structure in a biological specimen, the method comprising: clearing the biological specimen comprising a fiber-like structure, wherein the fiber-like structure is detectably labeled; illuminating the cleared biological specimen with two light sheets from a first side and a second side to produce an image volume, wherein the second side is opposite to the first side and wherein the image volume comprises a representation of the fiber-like structure; defining a plurality of voxels within the representation of the fiber-like structure; processing each of the plurality of voxels to estimate a plurality of principal fiber-like structure orientations; and defining a starting point on the representation of the fiber-like structure and propagating a plurality of streamlines from the starting point, according to the plurality of principal fiber-like structure.