https://github.com/TheLaueLab/blink-analysis

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Revision Author Date Message Commit Date
1d451cd Rework stat organization Organize into dict to keep title and stat together. 22 May 2016, 21:36:36 UTC
2de74f0 Split out sampling code Removes randomness from remaining analysis. Also aims are a little different, sampling randomly from multiple different experiments doesn't make much sense. 22 May 2016, 21:23:22 UTC
0d529bd Add analysis of multiple repeats to fret_analysis Analyses multiple repeats and returns std deviation between repeats in summary statistics. 22 May 2016, 19:34:57 UTC
e34c276 Add analysis script Finds series of TIF images per dataset & video in specified directories, and extracts ROIs by calling extract.py 22 May 2016, 16:59:15 UTC
a2a2d79 Support multi-file series Adds tiffConcat to concatenate multiple TIFF files in a memory-efficient manner. 22 May 2016, 12:04:41 UTC
04d718b Split ROI extraction and plotting Question is where to plot selected peaks. Data is available in extraction. 20 May 2016, 10:56:49 UTC
091717e Reorganize stat collection Fixes photons/frame (previously was photons/blink/on time). Also reorganizes other functions to be clearer, though possibly slower. 19 May 2016, 14:19:48 UTC
bc2db39 Process multiple files This adds processing of multiple datasets. Removes plotting of selected samples on projection for convenience. TODO: - Compute standard deviation between datasets, not between all data points. - Restore plotting of collected samples on projection. 19 May 2016, 11:00:09 UTC
b6f188f Move output argument Preparation for accepting multiple image series 18 May 2016, 14:59:40 UTC
f4da1d9 Clean up numpy imports 18 May 2016, 14:59:18 UTC
51eb8bb Output summary statistics Print summary statistics to csv/stdout 18 May 2016, 14:47:29 UTC
1368fd3 Add .gitignore 18 May 2016, 11:17:25 UTC
135b888 Add photon count / frame 18 May 2016, 11:16:08 UTC
79b5752 Add png output Currently all plots are the same (~A4) size, can adjust. 17 May 2016, 14:07:37 UTC
2410e15 Count truncated last blink Last blink is always included in the photon count, so also include it in the blink count even if it is truncated. 17 May 2016, 13:28:05 UTC
bb1cf60 Parallelize rollingMedian Biggest time taken here, so use parallel map. 17 May 2016, 13:26:48 UTC
072450c Limit histogram bins Limit largest bin to 95th percentile, reduces compression of data by outliers. 17 May 2016, 13:25:40 UTC
e0da62f Add per-blink photon counts 17 May 2016, 12:25:02 UTC
2de233b Add total photon count 17 May 2016, 11:24:46 UTC
11122fa Add blink counts Note on-state must be signed int for gradient extraction to work. 17 May 2016, 10:39:27 UTC
96ccd67 Use single level threshold for on/off 17 May 2016, 09:33:21 UTC
abcf3c6 Pre-calculate traces/rois, index for samples All ROIs and traces will be needed anyway (ROIs for photon count later). This allows marking the sampled regions in the projection. 17 May 2016, 09:25:21 UTC
9247de8 Make seed parameter for sample selection explicit 16 May 2016, 15:17:44 UTC
0a52e66 Use indices.stop to get subplot dims 13 May 2016, 10:17:40 UTC
6671c96 Pre-filter entire image Applies a median blur to the entire image before spot picking. Reduces number of spurious spots. 12 May 2016, 17:08:15 UTC
71945f7 Divide by pre-computed background 12 May 2016, 16:13:31 UTC
e425e61 Display histogram of on-times and blink lengths 09 May 2016, 14:52:15 UTC
b94f66d Round ROI size to int 'scale' is np.int64, so cast to python int for round to work correctly. 09 May 2016, 14:51:55 UTC
3df297d Color lines by on/off state Slightly complicated with matplotlib, need to use LineCollection. http://matplotlib.org/examples/pylab_examples/multicolored_line.html 09 May 2016, 14:20:04 UTC
8ef27a8 Initial commit blob.py does Laplacian of Gaussian detection of blobs in nD data extract.py extracts spots from well-separated, static point sources, and plots their on/off state. 05 May 2016, 10:19:03 UTC
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