Learn More
Fluorescence microscope images capture information from an entire field of view, which often comprises several cells scattered on the slide. We have previously trained classifiers to accurately predict subcellular location patterns by using numerical features calculated from manually cropped 2D single-cell images. We describe here results on directly(More)
System-level design methodologies have been introduced as a solution to handle the design complexity of embedded multiprocessor SoC (MPSoC) systems. In this paper we describe a system-level design flow starting from Simulink specification, focusing on concurrent hardware and software design and verification at four different abstraction levels: Simulink(More)
Applications based on electrocardiogram (ECG) signal feature extraction and classification are of major importance to the autodiagnosis of heart diseases. Most studies on ECG classification methods have targeted only 1-or 2-lead ECG signals. This limitation results from the unavailability of real clinical 12-lead ECG data, which would help train the(More)
A grand challenge in complex embedded systems design is developing methods and tools for modeling and analyzing the behavior of an application software running on a given hardware architecture. For application software running on multicore or distributed platforms, rigorous performance analysis techniques are essential for determining optimal(More)
We describe the Protein Subcellular Location Image Database (PSLID), which collects and structures 2-D through 5-D fluorescence microscope images, annotations, and derived features in a relational schema. It is designed so that interpretations as well as annotations can be queried. The annotations in PSLID, composed of 28 linked tables with publicly(More)