Abstract: 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.

Abstract: 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.

Abstract: Methods and systems are provided for use in selectable data transmission. In a portable mobile computing device, a request to initiate an instant video communication with a remote portable multi-function computing device may be received, and in response to receiving the request to initiate the instant video communication, it may be determined, based on a stored authorization list, that the instant video communication connection to the remote portable multi-function computing device is authorized, and In response to such determining, stored connection information for the remote portable multi-function computing device may be accessed, and captured video communication data for the requested instant video communication may be transmitted according to the stored instant connection information such that the captured video communication data may be displayed at the remote portable multi-function computing device as it is received.

Abstract: Provided herein are methods for analyzing immune cell infiltration in a cancer stromal region of a biological sample obtained from a subject using machine learning modules. For example, the methods may include (a) identifying a cancerous region or an analyte associated with the cancerous region in the biological sample; (b) identifying a stromal region or an analyte associated with the stromal region in the biological sample; (c) identifying one or more immune cells or an analyte associated with an immune cell in one or more locations in the biological sample; and (d) using (i) the identified cancerous and stromal regions or associated analytes thereof in the biological sample and (ii) the identified one or more immune cells or associated analytes thereof to analyze immune cell infiltration in the cancer stromal region of the biological sample obtained from the subject.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for machine learning tissue classification are provided herein. Datasets for a plurality of biological samples are first generated. The dataset of each biological sample includes image data of the biological sample and molecular measurement data of the biological sample captured at a plurality of capture areas of the biological sample. The capture areas of the biological sample are registered to corresponding locations in the image data of the biological sample. Then, a machine learning module is trained with the datasets. Another dataset for another biological sample is generated (e.g., in the same or similar manner as the other datasets). And, the other dataset of the other biological sample is processed through the trained machine learning module to predict features in the other biological sample.

Abstract: 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.

Abstract: Methods and systems are provided for use in selectable data transmission. In a portable mobile computing device, a request to initiate an instant video communication with a remote portable multi-function computing device may be received, and in response to receiving the request to initiate the instant video communication, it may be determined, based on a stored authorization list, that the instant video communication connection to the remote portable multi-function computing device is authorized, and In response to such determining, stored connection information for the remote portable multi-function computing device may be accessed, and captured video communication data for the requested instant video communication may be transmitted according to the stored instant connection information such that the captured video communication data may be displayed at the remote portable multi-function computing device as it is received.

Abstract: Systems and methods for spatial analysis of analytes include placing a sample on a substrate having fiducial markers and capture spots. Then, an image of the sample is acquired and sequence reads are obtained from the capture spots. Each capture probe plurality in a set of capture probe pluralities is (i) at a different capture spot, (ii) directly or indirectly associates with analytes from the sample and (iii) has a unique spatial barcode. The sequencing reads serve to detect the analytes. Sequencing reads include a spatial barcode of the corresponding capture probe plurality. Spatial barcodes localize reads to corresponding capture spots, thereby dividing them into subsets, each subset for a respective capture spot. Fiducial markers facilitate a composite representation comprising (i) the image aligned to the capture spots and (ii) a representation of each subset of sequence reads at respective positions within the image mapping to the corresponding capture spots.

Abstract: Methods and systems are provided for selectable data transmissions. A user profile may be maintained, with the user profile including a list of authorized remote mobile computing devices and respective connection information for video communication, with the plurality of authorized remote mobile computing devices being authorized for video communication, and other remote mobile computing devices not being authorized for video communication. When a request to initiate video communication with a particular remote mobile computing device is received, a determination may be made, based on the user profile, that the particular remote mobile computing device is authorized.

Abstract: 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.

Abstract: Methods and systems are provided for selectable data transmissions. A user profile may be maintained, with the user profile including a list of authorized remote mobile computing devices and respective connection information for video communication, with the plurality of authorized remote mobile computing devices being authorized for video communication, and other remote mobile computing devices not being authorized for video communication. When a request to initiate video communication with a particular remote mobile computing device is received, a determination may be made, based on the user profile, that the particular remote mobile computing device is authorized.

Abstract: Methods and systems are provided for enhanced data transmissions. A central controller of a communications network may identify, based on a user profile corresponding to a particular user, a communications terminal associated with the user, and may determine accessibility of the communications terminal. The central controller may then encrypt based on a user defined time associated with the user, data with an electronic key associated with a type of data. The central controller may then transmit the encrypted data to the communications terminal. The central controller may then verify that the user is entitled to access the encrypted data, and based on successful verifying, may transmit at least a portion of the electronic key to the communications terminal.

Abstract: Methods and systems are provided for enhanced data transmissions. A central communications device may be configured for encrypting data into encrypted data, using an encryption parameter associated with a particular user; transmitting the encrypted data to a communications terminal associated with the particular user; and receiving in response to the transmitting of the encrypted data, user related data from the communications terminal. The communications device may be further configured for comparing the user related data received from the communications terminal with pre-set user related data associated with the encryption parameter, with the pre-set user related data is stored in the central communications device; and when the user related data received from the communications terminal matches the pre-set user related data, transmitting the encryption parameter to the communications terminal.

Abstract: In a method and a system for data transmission, authentication data and an electronic key may be generated, with the electronic key being stored as assigned to the authentication data. Data may be encrypted, such as by a central communications device, into encrypted data, using at least part of the electronic key. Based on reception of the authentication data from a communications terminal, at least a portion of the electronic key and the encrypted data may be transmitted from the central communications device to the communications terminal.

Abstract: The present invention relates to a process and a system for data transmission. Authentication data and an electronic key are generated, whereby the electronic key is stored as assigned to the authentication data. At least part of the electronic key is transmitted by means of an authentication module of the central module to a communications terminal. Asynchronously to that, data are encrypted into encrypted data by means of an encryption module and by means of at least part of the electronic key. The encrypted data are transmitted between a central module and a communications terminal. The encrypted data are decrypted by means of a decryption module and by means of at least part of the electronic key.

Abstract: Methods and systems are provided for selectable data transmissions. An electronic key may be assigned to authenticated data associated with a particular user, electronic data may be encrypted, using at least part of the electronic key, to generate encrypted data, and a program code that must be executed to decrypt the encrypted data may be incorporating into the encrypted data. The encrypted data may be transmitted to a communications terminal identified by the user, and at least part of the electronic key may be transmitted to the communications terminal to cause decrypting the encrypted data using the at least part of the electronic key. The program code may be configured to cause checking one or more validation criteria associated with the encrypted data, at the communications terminal, during execution of the program code.

Abstract: The present invention relates to primarily genetically modified microorganisms for in vivo synthesis of lacto-N-tetrose (LNT) and lacto-N-neotetrose (LNnT), and their fucosylated derivatives, and to uses of such microorganisms in methods of producing lacto-N-tetrose and lacto-N-neotetrose, and their fucosylated derivatives.