{"action":"opened","issue":{"url":"https://api.github.com/repos/tischi/imagej-courses/issues/21","repository_url":"https://api.github.com/repos/tischi/imagej-courses","labels_url":"https://api.github.com/repos/tischi/imagej-courses/issues/21/labels{/name}","comments_url":"https://api.github.com/repos/tischi/imagej-courses/issues/21/comments","events_url":"https://api.github.com/repos/tischi/imagej-courses/issues/21/events","html_url":"https://github.com/tischi/imagej-courses/issues/21","id":367680244,"node_id":"MDU6SXNzdWUzNjc2ODAyNDQ=","number":21,"title":"advanced image segmentation","user":{"login":"tischi","id":2157566,"node_id":"MDQ6VXNlcjIxNTc1NjY=","avatar_url":"https://avatars0.githubusercontent.com/u/2157566?v=4","gravatar_id":"","url":"https://api.github.com/users/tischi","html_url":"https://github.com/tischi","followers_url":"https://api.github.com/users/tischi/followers","following_url":"https://api.github.com/users/tischi/following{/other_user}","gists_url":"https://api.github.com/users/tischi/gists{/gist_id}","starred_url":"https://api.github.com/users/tischi/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tischi/subscriptions","organizations_url":"https://api.github.com/users/tischi/orgs","repos_url":"https://api.github.com/users/tischi/repos","events_url":"https://api.github.com/users/tischi/events{/privacy}","received_events_url":"https://api.github.com/users/tischi/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-10-08T08:18:53Z","updated_at":"2018-10-08T08:18:53Z","closed_at":null,"author_association":"OWNER","body":"## Facts to be demonstrated\r\n- saturation cannot be fixed. impossible to determine number of objects (and to quantify intensities)\r\n- intensity offsets are normal; they usually are not a problem\r\n\r\n## Contents\r\n- distance transform\r\n  - example: nuclear periphery quantification\r\n- macro recording of complex workflows\r\n\r\n## Formative assessments\r\n- outcomes of convolution filters on some data\r\n- assessing by etherpad\r\n\r\n\r\n\r\n"}}
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