Lacey Carbon Application¶

Lacey carbon support has irregular size of holes. Making it difficult to find effiiciently the good area to target. There is no ideal solution.

Possible strategies:

Manual Targeting, and queue it up.¶

pro: minimal false positive and false negative. You decide where you want regarding spacing of the targets and distance from the edge.
con: user time-consuming. You have to do this at Exposure Targeting Node for every hl image coming in.

Using MSI-T application to collect Lacey Carbon support data¶

pro: low false positive. Find most holes on the image and take image at the center of each.
con: high false negative. Can not vary the number of images taken in each hole according to the hole size.

RasterFC Lacey carbon rastering¶

This is a published node class developed by W.V. Nicholson, H. White and J. Trinick (2010) JSB 172, 395-399.

pro: Raster through the hl image giving maximal number of images.
con: high false positive. May take many images on the support film.