System and method for analysis of microscopic image data and for generating an annotated data set for classifier training

A method for analysis of microscopic image data using a data processing system, the method comprising:

• reading or generating pixel classification data for each of a plurality of pixels of the microscopic image data, wherein the pixel classification data comprise, for each of the plurality of pixels of the microscopic image data, binary or probabilistic classification data for classifying the pixel into one or more object classes of predefined objects which are shown by the image;
• grouping at least a portion of the pixels of the microscopic image data to form one or more pixels groups;
• and
• calculating, for each of the pixel groups, probabilistic group classification data depending on at least a portion of the pixel classification data of the pixels of the respective group;
• wherein for one or more of the object classes and for each of the pixel groups, the probabilistic group classification data are indicative of a probability that the respective group shows at least a portion of an object of the respective object class.

A non-transitory computer readable medium comprising a program element encoded therein for analysis of microscopic image data using a data processing system, wherein the program element, when being executed by a processor of the data processing system, is adapted to carry out:

• reading or generating pixel classification data for each of a plurality of pixels of the microscopic image data, wherein the pixel classification data comprise, for each of the plurality of pixels of the microscopic image data, binary or probabilistic classification data for classifying the pixel into one or more object classes of predefined objects which are shown by the image;
• grouping at least a portion of the pixels of the microscopic image data to form one or more pixels groups;
• and
• calculating, for each of the pixel groups, probabilistic group classification data depending on at least a portion of the pixel classification data of the pixels of the respective group;
• wherein for one or more of the object classes and for each of the pixel groups, the probabilistic group classification data are indicative of a probability that the respective group shows at least a portion of an object of the respective object class.