A computer-implemented method of searching for a region indicative of a pathology in an image of a portion of an eye acquired by an ocular imaging system, the method comprising: receiving image data defining the image; searching for the region in the image by processing the received image data using a learning algorithm (530; 630) trained on image data (502; 604) defining images of the portion of healthy eyes, and image data (601, 602, 603; 501) defining images of the portion of unhealthy eyes each having at least one region that is indicative of the pathology; and in case a region in the image that is indicative of the pathology is found in the searching: determining a location of the region in the image; generating an instruction for an eye measurement apparatus to perform a measurement on the portion of the eye to generate measurement data, using a reference point based on the determined location for setting a location of the measurement on the portion of the eye; and receiving the measurement data from the eye measurement apparatus, wherein searching for the region in the image comprises searching for a region in the image that is indicative of one of a plurality of different types of pathology by processing the received image data using the learning algorithm, the learning algorithm being trained on image data (601, 602, 603) defining images of the portion of unhealthy eyes each having a respective one of the different types of pathology, and in case a region in the image that is indicative of one of the plurality of different types of pathology is found in the searching: the method further comprises selecting, for the one of the plurality of different types of pathology, a respective one of a plurality of different types of measurement modality for a measurement to be performed on the eye; and the method comprises generating, as the instruction for the eye measurement apparatus to perform the measurement on the portion of the eye, an instruction for an eye measurement apparatus of the selected measurement modality to perform the measurement on the portion of the eye, using the reference point for setting the location of the measurement on the portion of the eye. receiving image data defining the image; searching for the region in the image by processing the received image data using a learning algorithm (530; 630) trained on image data (502; 604) defining images of the portion of healthy eyes, and image data (601, 602, 603; 501) defining images of the portion of unhealthy eyes each having at least one region that is indicative of the pathology; and in case a region in the image that is indicative of the pathology is found in the searching: determining a location of the region in the image; generating an instruction for an eye measurement apparatus to perform a measurement on the portion of the eye to generate measurement data, using a reference point based on the determined location for setting a location of the measurement on the portion of the eye; and receiving the measurement data from the eye measurement apparatus, wherein determining a location of the region in the image; generating an instruction for an eye measurement apparatus to perform a measurement on the portion of the eye to generate measurement data, using a reference point based on the determined location for setting a location of the measurement on the portion of the eye; and receiving the measurement data from the eye measurement apparatus, wherein searching for the region in the image comprises searching for a region in the image that is indicative of one of a plurality of different types of pathology by processing the received image data using the learning algorithm, the learning algorithm being trained on image data (601, 602, 603) defining images of the portion of unhealthy eyes each having a respective one of the different types of pathology, and in case a region in the image that is indicative of one of the plurality of different types of pathology is found in the searching: the method further comprises selecting, for the one of the plurality of different types of pathology, a respective one of a plurality of different types of measurement modality for a measurement to be performed on the eye; and the method comprises generating, as the instruction for the eye measurement apparatus to perform the measurement on the portion of the eye, an instruction for an eye measurement apparatus of the selected measurement modality to perform the measurement on the portion of the eye, using the reference point for setting the location of the measurement on the portion of the eye. the method further comprises selecting, for the one of the plurality of different types of pathology, a respective one of a plurality of different types of measurement modality for a measurement to be performed on the eye; and the method comprises generating, as the instruction for the eye measurement apparatus to perform the measurement on the portion of the eye, an instruction for an eye measurement apparatus of the selected measurement modality to perform the measurement on the portion of the eye, using the reference point for setting the location of the measurement on the portion of the eye.