Table 1.

Semi-automated analysis procedure.

	First method	Second method	Third method	Fourth method
STEP 1	Import the OCT scan into ImageJ
STEP 2	Set 8-bit format
STEP 3	Run A-trous-filter.java: k1: 4.0; k2: 3.0; k3: 3.0; k4: 0.0; k5: 0.0 Non gaussian noise removal ✓ Std dev: 1.50
STEP 4	A Denoised image is obtained
STEP 5	Select main image
STEP 6	Process
STEP 7	CLAHE (Enhance Local Contrast): Blocksize: 127 Histogram bins: 256 Maximum slope: 3.00 Mask: denoised image
STEP 8	Plugin
STEP 9	Analyze
STEP 10	Spot Counter: Pre-filter: Gaussian_1.5 Box Size: 2 Noise Tolerance: 15	Spot Counter: Pre-filter: Gaussian_1.5 Box Size: 2 Noise Tolerance: 20	Spot Counter: Pre-filter: None Box Size: 2 Noise Tolerance: 20	Spot Counter: Pre-filter: None Box Size: 2 Noise Tolerance: 15
STEP 11	Free hand selection:
	• Select the area from RNFL/GCL to ELM
STEP 12	Confirm the Spot Counter command
STEP 13	Copy the following values into a database:
	• n (whole number of spots counted)
	• spot mean (average value of spot intensity)
	• image mean (average value of image intensity)
	• list of each single spot intensity.