Patent Document ID: 10012591
Application ID: 14778546
Patent Status: 1

Claim One:
1. A method of automatically identifying tissue structures in a sample, the method comprising the steps of: measuring a response of an area of the sample to illumination with light, wherein the sample has a sample area of 1 mm 2 or greater; identifying regions within the area via unsupervised, automated determination, wherein the identified regions are dependent upon having a measured response within a predetermined range; generating a spatial correlation map of the sample from the identified regions, the spatial correlation map comprising a plurality of segments; determining one or more locations within each of the identified regions to establish a sampling pattern for spectroscopic analysis of each segment of the spatial correlation map; performing spectroscopic analysis of the sample at the one or more determined locations to obtain 1000 or fewer spectra for the sample; identifying a tissue structure for each region from the spectroscopic analysis performed on one or more locations therein; producing a coloured image of the sample area specific to the tissue structure identified; and classifying each segment of the spatial correlation map according to the spectroscopic analysis.