Abstract: Certain aspects of the present disclosure provide techniques for predicting activity within a software application using a machine learning model. An example method generally includes generating a multidimensional time-series data set from time-series data associated with activity within a software application. The multidimensional time-series data set generally includes the time-series data organized based on a plurality of time granularities. Using a machine learning model and the generated multidimensional time-series data set, activity within the software application is predicted for one or more time granularities of the plurality of time granularities. Computing resources are allocated to execute operations using the software application based on the predicted activity within the software application.

Abstract: A super resolution microscope system is disclosed and described. The system can include a sample stage (180) adapted to receive a sample (185) including probe molecules. At least one light source (105) is provided to produce a coherent excitation light to excite the probe molecules and cause luminescence of the probe molecules. An image detector (100) can detect the luminescence from the probe molecules. A microlens array (125) can be positioned in a beam path (110) of the coherent light from the at least one light source (105). The beam path (110) of the coherent light extends between the light source (105) and the sample stage (180). The microlens array (125) can also be positioned in a beam path (112) of the luminescence from the probe molecules. The beam path (112) of the luminescence extends between the sample stage (180) and the image detector (100).

Abstract: A super resolution microscope system is disclosed and described. The system can include a sample stage (180) adapted to receive a sample (185) including probe molecules. At least one light source (105) is provided to produce a coherent excitation light to excite the probe molecules and cause luminescence of the probe molecules. An image detector (100) can detect the luminescence from the probe molecules. A microlens array (125) can be positioned in a beam path (110) of the coherent light from the at least one light source (105). The beam path (110) of the coherent light extends between the light source (105) and the sample stage (180). The microlens array (125) can also be positioned in a beam path (112) of the luminescence from the probe molecules. The beam path (112) of the luminescence extends between the sample stage (180) and the image detector (100).