Abstract: The present invention is related to correct the errors in instruments, operation, and others using intelligent monitoring structures and machine learning, and others.

Abstract: A method of assaying an analyte in a sample is disclosed. The method includes having a sample holder with a sample contact area for contacting a sample with an analyte, having a plurality of calibration structures on the sample contact area of the sample holder, imaging a part of the sample contact area that has the calibration structures, and using an algorithm that includes an image, calibration structures in the image, and artificial intelligence and/or machine learning to identify the analyte and/or determine the analyte concentration.

Abstract: Disclosed is an apparatus and method for imaging: a side-view of a object on a surface, a Contact Angle of a liquid object, the color of an object, or combinations thereof.

Abstract: The present invention is related to, among other things, the devices and methods that improve the accuracy and reliability of an assay, even when the assay device and/or the operation of the assay device has certain errors, and in some embodiments the errors are random.

Abstract: One aspect of the present invention is to provide systems and methods that improve the accuracy of an assay that comprise at least one or more parameters each having a random error.

Abstract: The present invention is related to, among other things, the devices and methods that improve the accuracy and reliability of an assay, even when the assay device and/or the operation of the assay device has certain errors, and in some embodiments the errors are random.

Abstract: Disclosed is an apparatus and method for imaging: a side-view of a object on a surface, a Contact Angle of a liquid object, the color of an object, or combinations thereof.

Abstract: One aspect of the present invention is to provide systems and methods that improve the accuracy of an assay that comprise at least one or more parameters each having a random error.

Abstract: The present invention is related to correct the errors in instruments, operation, and others using intelligent monitoring structures and machine learning, and others.

Abstract: The present invention is related to correct the errors in instruments, operation, and others using intelligent monitoring structures and machine learning, and others.

Abstract: The present invention is related to correct the errors in instruments, operation, and others using intelligent monitoring structures and machine learning, and others.

Abstract: Among other things, certain embodiments of the present disclosure are related to devices and methods of performing biological and chemical assays, such as but not limited to pH measurement of bio/chemical samples.

Abstract: One aspect of the present invention is to provide systems and methods that improve the accuracy of an assay that comprise at least one or more parameters each having a random error.

Abstract: Disclosed is an apparatus and method for imaging: a side-view of a object on a surface, a Contact Angle of a liquid object, the color of an object, or combinations thereof.

Abstract: Systems and methods for analyzing scenes from cameras imaging an event, such as a sporting event broadcast, are provided. Systems and methods include detecting and tracking patterns and trails. This may be performed with intra-frame processing and without knowledge of camera parameters. A system for analyzing a scene may include an object characterizer, a foreground detector, an object tracker, a trail updater, and a video annotator. Systems and methods may provide information regarding centers and spans of activity based on object locations and trails, which may be used to control camera field of views such as a camera pose and zoom level. A magnification may be determined for images in a video sequence based on the size of an object in the images. Measurements may be determined from object trails in a video sequence based on an effective magnification of images in the video sequence.

Abstract: The present invention is related to correct the errors in instruments, operation, and others using intelligent monitoring structures and machine learning, and others.

Abstract: A double fluorescent particle comprises: a core with a first fluorescence; and a molecularly imprinted polymer (MIP) shell with a second fluorescence; wherein the MIP is an organic polymer comprising elements selected from the group consisting of: C, H, O, N, P, and S; wherein the MIP is adapted to selectively bind to a cell surface structure; wherein the first fluorescence is generated by an entity selected from the group consisting of: a carbon nanodot, an alkaline earth metal fluoride, a dye-doped polymer, a dye-doped stabilized micelle, a P-dot—i.e.

Abstract: Described herein are apparatus, systems and methods for shadow assisted object recognition and tracking. The methods performed by the apparatus and system include identifying a blob within a video image, the video image having at least one object and at least one shadow of the at least one object, the at least one shadow of the at least one object cast by at least one light source. Identifying the blob includes identifying an object projection corresponding to the at least one object and a shadow projection corresponding to the at least one shadow. A location of an object portion of the at least one object is determined based on the shadow projection.

Abstract: Among other things, the present invention is related to devices/apparatus and methods of performing cellular, biological, and chemical assays and procedures.

Abstract: The present invention provides devices, systems, and methods, for performing biological and chemical assays.