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Ticket #67 (closed feature: fixed)

Opened 2010-06-01T14:25:20-05:00

Last modified 2012-02-23T12:40:33-06:00

Get "SLIMPlugin" roughly working

Reported by: aivar Owned by: aivar
Priority: major Milestone: biweekly-2010: Jun-28 to Jul-09
Component: Spectral Lifetime Version:
Severity: major Keywords:
Cc: Blocked By:
Blocking:

Description

(I've been calling my version of SLIMPlotter rewritten as an IJ plugin "SLIMPlugin". This basically uses huge chunks of SLIMPlotter and a new version of an ICurveFitter interface designed to work well with Java->C calls and OpenCL.)

Currently working on an implementation of the ICurveFitter based on the jaolho LMA package that SLIMPlotter uses.

I'm also planning to add false color display mapping of derived lifetimes so that different fit algorithms may be visually compared.

Change History

comment:1 Changed 2010-06-01T15:04:51-05:00 by aivar

  • Component changed from analysis to other

comment:2 Changed 2010-06-17T20:02:01-05:00 by aivar

  • Status changed from new to accepted
  • Milestone changed from biweekly-2010: Jun-01 to Jun-11 to biweekly-2010: Jun-14 to Jun-25

Carried over to next two week milestone. Not very solid yet; fixing some bugs.

comment:3 Changed 2010-06-29T12:52:18-05:00 by aivar

  • Milestone changed from biweekly-2010: Jun-14 to Jun-25 to biweekly-2010: Jun-28 to Jul-09

Currently mostly works well from NetBeans, but get bad results when I run as an ImageJ plugin. It would be great to run in ImageJ and be able to select ROIs.
Carried over to next two week milestone, as a background task.

comment:4 Changed 2010-07-12T14:28:50-05:00 by aivar

  • Status changed from accepted to closed
  • Resolution set to fixed

Plugin is working sufficiently to test curve fitting with real .sdt files and with fake data. I'll probably need some minor changes as I work with curve fitting.

comment:5 Changed 2010-08-31T12:02:15-05:00 by curtis

  • Component changed from other to slim

comment:6 Changed 2012-02-23T12:40:33-06:00 by curtis

  • Type changed from task to feature