A surgical optimization system comprising: an imaging device adapted to receive imaging data of a portion of retinal tissue at an anticipated treatment location for a patient; and a laser treatment delivery device adapted to apply a treatment to the retinal tissue at the treatment location; and a treatment control device, the imaging device and the treatment device coupled to the treatment control device, the treatment control device comprising: a processor adapted to: determine for the portion of the retinal tissue an expected normal range of thicknesses of the neurosensory retina based on data from a database containing thickness measurements of the neurosensory retina of patients with similar characteristics, and using the normal range of thicknesses to generate a threshold value range based on a percentage difference in the neurosensory retina thickness compared to adjacent areas; identify the presence of one or more abnormalities of the retinal tissue based on the received imaging data when an area of the patient's neurosensory retina has a thickness greater than or less than the threshold value, the one or more abnormalities being identifiable as an area along the neurosensory retina with a thickness different from adjacent areas that is greater than or less than the threshold value range; and identify from the imaging data a vascular density associated with the one or more abnormalities of the retina tissue based on a detected vascular density value; determine a type of abnormality of the one or more abnormalities of the retina tissue based on the vascular density value, wherein vascular density of a particular value is representative of a particular type of abnormality; determine one or more laser treatment parameters based on the type of abnormality; deliver a treatment to the one or more abnormalities according to a treatment plan using the one or more laser treatment parameters via the treatment delivery device. an imaging device adapted to receive imaging data of a portion of retinal tissue at an anticipated treatment location for a patient; and a laser treatment delivery device adapted to apply a treatment to the retinal tissue at the treatment location; and a treatment control device, the imaging device and the treatment device coupled to the treatment control device, the treatment control device comprising: a processor adapted to: determine for the portion of the retinal tissue an expected normal range of thicknesses of the neurosensory retina based on data from a database containing thickness measurements of the neurosensory retina of patients with similar characteristics, and using the normal range of thicknesses to generate a threshold value range based on a percentage difference in the neurosensory retina thickness compared to adjacent areas; identify the presence of one or more abnormalities of the retinal tissue based on the received imaging data when an area of the patient's neurosensory retina has a thickness greater than or less than the threshold value, the one or more abnormalities being identifiable as an area along the neurosensory retina with a thickness different from adjacent areas that is greater than or less than the threshold value range; and identify from the imaging data a vascular density associated with the one or more abnormalities of the retina tissue based on a detected vascular density value; determine a type of abnormality of the one or more abnormalities of the retina tissue based on the vascular density value, wherein vascular density of a particular value is representative of a particular type of abnormality; determine one or more laser treatment parameters based on the type of abnormality; deliver a treatment to the one or more abnormalities according to a treatment plan using the one or more laser treatment parameters via the treatment delivery device. determine for the portion of the retinal tissue an expected normal range of thicknesses of the neurosensory retina based on data from a database containing thickness measurements of the neurosensory retina of patients with similar characteristics, and using the normal range of thicknesses to generate a threshold value range based on a percentage difference in the neurosensory retina thickness compared to adjacent areas; identify the presence of one or more abnormalities of the retinal tissue based on the received imaging data when an area of the patient's neurosensory retina has a thickness greater than or less than the threshold value, the one or more abnormalities being identifiable as an area along the neurosensory retina with a thickness different from adjacent areas that is greater than or less than the threshold value range; and identify from the imaging data a vascular density associated with the one or more abnormalities of the retina tissue based on a detected vascular density value; determine a type of abnormality of the one or more abnormalities of the retina tissue based on the vascular density value, wherein vascular density of a particular value is representative of a particular type of abnormality; determine one or more laser treatment parameters based on the type of abnormality; deliver a treatment to the one or more abnormalities according to a treatment plan using the one or more laser treatment parameters via the treatment delivery device.