Render 2D cross sections of 3D Objects Hello I would like to expand upon a previous post  Create Cross Sections and 2D planes in Blender
I am able to follow the steps outlined in the excellent tutorial linked above, but I am having trouble rendering the resulting 2D slices in a serialized way.  I am hoping I can be guided to a resource that will help me understand what I need to do to execute what I'd like to do.
What I'd like to do is render each slice as a 2D image with each image having an identical image size, and all images in frame with respect to each other. The result should be a series of 2D images resembling a CT scan.
Ideally this could be done with some level of automation instead of manually adjusting the camera and object for each slice as there will be ~200 slices.

Above is an example of the series of 2D slices in 3D space

And above is an example of a rendered image I would like to produce.  However this was a screen shot.  And I need to make sure that my images are exactly in frame with each other and rendered at a constant distance from the camera.
Also I should add that I am comfortable writing scripts, but I have no experience programming specifically for blender.  Thank you for your help
UPDATE:  The below answer worked great for what I was trying to do, and was a much better solution than using boolean expressions to render slices as I had been trying.  I simply rendered images of the primary model per the animation shown below.  Thank you for your help
That can be done using shader driven by the current frame.

The node settings:

The generated texture coordinates is between 0 and 1.
Value nodes: one is driven by the current frame, the other is the amount of frames (here 100).
We then test if the model part is between frame and frame + 1 / number of frames.
If yes, emission surface and emission volume. If not transparent.
The driver is based on the scene and its current frame:

All is done with Cycles.
Depending on the camera settings, that can be perspective or orthographique (so constant size).