System and method for microscopic image processing and determining myelination status using processed images

A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:

• cleaning a plurality of leaks shown in a plurality of images to create a plurality of cleaned images, each of the plurality of images having a neuron signal intensity, wherein the plurality of images includes at least one neuron channel image and at least one oligodendrocyte channel image, wherein cleaning the plurality of images further comprises applying a filtering function to each of the plurality of images and adjusting the neuron signal intensity of each of the plurality of images based on an output of the filtering function;
• detecting a plurality of oligodendrocytes in the plurality of cleaned images, wherein each detected oligodendrocyte is a region of the plurality of images including an object of a plurality of objects shown in the plurality of images for which the neuron signal intensity is within a range of neuron signal intensities;
• and
• identifying a plurality of high-intensity sub-regions within each detected oligodendrocyte, wherein each high-intensity sub-region includes at least one high-intensity object, wherein each high-intensity object is an object of the plurality of objects for which the neuron signal intensity is above a threshold.

A system for microscopic image processing, comprising:

• a processing circuitry;
• and
• a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
• clean a plurality of leaks shown in a plurality of images to create a plurality of cleaned images, each of the plurality of images having a neuron signal intensity, wherein the plurality of images includes at least one neuron channel image and at least one oligodendrocyte channel image, wherein cleaning the plurality of images further comprises applying a filtering function to each of the plurality of images and adjusting the neuron signal intensity of each of the plurality of images based on an output of the filtering function;
• detect a plurality of oligodendrocytes in the plurality of cleaned images, wherein each detected oligodendrocyte is a region of the plurality of images including an object of a plurality of objects shown in the plurality of images for which the neuron signal intensity is within a range of neuron signal intensities;
• and
• identify a plurality of high-intensity sub-regions within each detected oligodendrocyte, wherein each high-intensity sub-region includes at least one high-intensity object, wherein each high-intensity object is an object of the plurality of objects for which the neuron signal intensity is above a threshold.