Differences

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--- pipeline:window:cryolo [2019/05/17 08:25]
twagner [Advanced parameters]
+++ pipeline:window:cryolo [2019/07/09 21:00]
twagner [Data preparation]
@@ Line 30: / Line 30: @@
 ==== Data preparation ====
 CrYOLO supports MRC, TIF and JPG files. It can work with 32 bit data, 8 bit data and 16 bit data.
-It will work on original MRC files, but it will probably improve when the data are filtered. Therefore you should low-pass filter them to a reasonable level. Since Version 1.2 crYOLO can automatically do that for you. You just have to add
+It will work on original MRC files, but it will probably improve when the data are denoised. Therefore you should low-pass filter them to a reasonable level. Since Version 1.2 crYOLO can automatically do that for you. You just have to add
 <code>
 "filter":               [0.1,"filtered"]
 </code>
 to the model section in your config file to filter your images down to an absolute frequency of 0.1. The filtered images are saved in folder ''filtered''.
+<hidden Alternative: Using neural-network denoising with JANNI>
+<code>
+"filter":               [model.h5,1,2,"filtered"]
+</code>
+</hidden>
 If you followed the installation instructions, you now have to activate the cryolo virtual environment with