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DI values associated with Engelmann spruce mortality, determined by comparing each image to a no outbreak baseline image, were then used to classify the images.
The live video and digital real-time image were then captured using a CCD camera.
Johnson and Farid [14] showed that the direction to a light source could be estimated from the specular highlight and inconsistencies in lighting conditions across the image were then used to infer splicing traces of digital image.
The ROIs from each image were then used in the after quantitative analysis.
The set of vessel tracings for each VIO image were then saved as a separate binary image mask.
The LC3 puncta per selected neuronal soma on the resulting image were then counted automatically using the 'analyze particle' function.
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That image is then deleted.
That image is then displayed.
That image is then hidden.
This image was then binarized with a "mean" method (b).
This image is then divided into small blocks.
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