Differences

This shows you the differences between two versions of the page.

--- start [2014/04/03 08:17]
azonenberg [Microscope objectives]
+++ start [2015/01/04 22:50]
127.0.0.1 external edit
@@ Line 3: / Line 3: @@
 ====== High resolution chip maps ======
-As of 11/01/2013 there are 77
+As of 10/6/2014 there are 149.
 Linked from pages when available and can be found at: http://siliconpr0n.org/map/  Tiles were originally output at .jpg quality 75 but since upgrading pr0n disk space in early 2013 tiles should now uploaded at .jpg quality 90.
@@ Line 14: / Line 14: @@
     * Chip name should match the wiki page name
   * Next level should contain files of form <layer name>_<magnification> where
-    * layer name: short description of the area imaged.  For example: "top_metal", "m2", or "delayered_right"
+    * layer name: short description of the area imaged.  For example: "mz", "m2", or "delayered_right"
     * magnification: which objective was used.  See notes in "microscope objectives"
-Example: "ti/tl494a/top_metal_mit5x"
+Example: "ti/tl494a/mz_mit5x"
   * ti: most associated with Texas Instruments (either made by, designer, or simply the most prominent package markings)
   * tlm494a: chip name including revision
-  * top_metal_mit5x: layer name and magnification
+  * mz_mit5x: layer name and magnification
-====== SEM images ======
-azonenberg's standard is as follows: foo_20kV_2kx_3e-11a_15mm_ap4_se_01.jpg
-  * Sample "foo"
-  * 20kV accelerating voltage
-  * 2000x magnification
-  * 3e-11A probe current
-  * 15mm working distance
-  * Aperture #4 (actual size depends on the specific instrument in use)
-  * Secondary electron image (other legal values are "bse", "eds")
-  * Image number 1 of the set
-Some older images do not follow this standard exactly and will be renamed to the canonical form as time permits. All new SEM images should follow the standard naming convention.
-All images should be captured in a lossless form such as TIFF and converted to JPEG for web purposes. Lossless compression reduces artifacts and makes the images more friendly for machine vision, so the original files should be used for analysis when possible.