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CHANGELOG.md

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0.2.1 - 2020-06-08

  • Bump napari to 0.3.4 (#1889)
  • fix how spot_ids are handled by build_traces_sequential and Label._assign() (#1872)
  • reorganized examples gallery and made clarifications to example pipelines and formatting (#1880)
  • added image registration tutorial (#1874)
  • Add assigning spots to cells docs (#1832)
  • Add a Quick Start tutorial (#1869)
  • Update starfish installation guide for JOSS submission (#1868)
  • Add image segmentation docs (#1821)
  • Changing return value of PixelDecoding to DecodedIntensityTable (#1823)
  • Ensure that LocalMaxPeakFinder works in 3D (#1822)
  • Deprecate is_volume parameter with trackpy (#1820)
  • Fix on-demand calculation of BinaryMaskCollection's regionprops (#1819)
  • Remove workaround for non-3D images (#1808)
  • improve from_code_array validation (#1806)
  • Add group_by for tilefetcher-based ImageStack construction (#1796)

0.2.0 - 2020-01-31

  • Add level_method to the clip filters. (#1758)
  • adding method to use installed ilastik instance (#1740)
  • Create a TileFetcher-based constructor for ImageStack (#1737)
  • adding mouse v human example to starfish.data (#1741)
  • adding method to binary mask collection that imports labeled images from external sources like ilastik (#1731)
  • Remove starfish.types.Clip (#1729)
  • Move watershed segmentation from morphology.Binarize to morphology.Segment (#1720)
  • Link to the available datasets in "loading data" section (#1722)
  • Document workaround for python3.8 (#1705)
  • Wrap skimage's watershed (#1700)
  • Add 3D support to target assignment. (#1699)
  • Pipeline component and implementation for merging BinaryMaskCollections (#1692)
  • Mechanism to reduce multiple masks into one (#1684)

0.1.10 - 2019-12-13

  • Bump slicedimage to 4.1.1 (#1697)
  • Make map/reduce APIs more intuitive (#1686)
  • updates roadmap to reflect 2020H1 plans
  • adding aws scaling vignette (#1638)
  • Use thresholded binarize and mask filtering in existing watershed code. (#1671)
  • adding spot ids to pixel results (#1687)
  • Implement Labeling algorithms (#1680)
  • Thresholded binarize conversion algorithm (#1651)
  • Area filter for binary masks (#1673)
  • Fix stain generation in watershed (#1670)
  • Use the new levels module. (#1669)
  • Linear image leveling (#1666)
  • add axis labels to display() (#1682)
  • Clip method for Richardson Lucy (#1668)
  • Filters for mask collections (#1659)
  • Provide an apply method to binary mask collections. (#1655)
  • adding convience method for slicing codebook data (#1626)
  • Fix display tests and code (#1664)
  • Additional builders for BinaryMaskCollection (#1637)
  • Methods for uncropping binary masks. (#1647)
  • Improve coordinate handling code for BinaryMaskCollection and LabelImage (#1632)

0.1.9 - 2019-11-18

  • Create an ArrayLike type (#1649)
  • Verify that binary masks can be generated from empty label images (#1634)
  • Add a morphology package to hold BinaryMaskCollection, LabelImage, and their respective operators (#1631)
  • fixing travis (#1648)
  • Support multiple codewords for the same target (#1646)
  • Update data model for BinaryMaskCollection (#1628)
  • Test for Codebook.to_json / open_json (#1645)
  • Simplify Dockerfile (#1642)
  • Switch to version exclusion for scikit-image workaround (#1629)
  • Clean up binary mask (#1622)
  • adding an extras feild to SpotFindingResults (#1615)
  • deleting Decode and Detect modules in lieu of spot finding refactor (#1598)
  • Fix install issues (#1641)
  • Upgrade to slicedimage 4.1.0 (#1639)
  • Update vocabulary for LabelImage I/O operations. (#1630)
  • Add a label image data type (#1619)
  • Remove deprecated code (#1621)
  • fixing bug with codebook.to_json (#1625)
  • Don't fill a new ImageStack with NaN (#1609)
  • Rename SegmenationMaskCollection to BinaryMaskCollection (#1611)
  • Remove hack to force anonymous memory mapping on osx (#1618)

0.1.8 - 2019-10-18

  • Logging improvements (#1617)
  • Make regionprops available per mask (#1610)
  • Don't use mypy 0.740 (#1616)
  • changing test code to use new spot finding modules (#1597)
  • refactoring allen smFish with new spot finding (#1593)
  • clean up max projection (#1379)
  • Use masked fill to produce labeled images (#1582)
  • Replace most instances of starfish.image.Filter.Reduce with imagestack.reduce (#1548)
  • implementing starMap spot finding refactor (#1592)
  • Add slots to classes that subclass xr.DataArray (#1607)
  • Convert SegmentationMaskCollection to a dict-like object (#1579)
  • Test case for multiprocessing + imagestack (#1589)
  • Masked fill method (#1581)
  • Add map/reduce methods to ImageStack (#1539)
  • Unify FunctionSource in Map and Reduce (#1540)

0.1.7 - 2019-10-09

  • ISS refactored with new spot finding path (#1518)
  • Fix bugs in per-round-max-decoder (#1602)
  • Fix dimension ordering on Codebook and IntensityTable (#1600)
  • provanance logging refactor and support for SpotFindingResults (#1517)
  • napari 0.2.0 release (#1599)
  • starfish.display: unpin napari version, add tests, view masks separately (#1570)
  • adding coordinate support to SpotFindingResults (#1516)
  • adding new SpotFindingResults data structure and new packages (#1515)

0.1.6 - 2019-09-18

  • Switch to python multithreading (#1544)
  • Don't waste memory/compute in preserve_float_range (#1545)
  • Get rid of shared state for LocalMaxPeakFinder (#1541)
  • map filter (#1520)
  • funcs passed to apply and transform can use positional arguments (#1519)
  • import SegmentationMaskCollection in main starfish (#1527)
  • Enable Windows builds on master (#1538)
  • Throw a warning when the data size is unusual. (#1525)

0.1.5 - 2019-08-12

  • Update the documentation for data formatters (#1476)
  • add ability to convert segmentation masks to a label image
  • If in_place=True, we should return None (#1473)
  • downgrade pyparsing (#1467)
  • fixes unicode in issue template (#1464)
  • Adds issue templates (#1460)
  • Updating requirements. (#1461)
  • Bump to slicedimage 4.0.1 (#1458)
  • on-demand loading of data. (#1456)
  • Get rid of the check-requirements cron job. (#1448)
  • Fixing travis build (#1457)
  • removing duplicate file (#1455)
  • Remove Cli (#1444)

0.1.4 - 2019-07-16

  • Update in-place experiment writing to use the new WriterContract API in slicedimage 4.0.0 (#1447)
  • data set formatter with fixed filenames (#1421)

0.1.3 - 2019-07-09

  • Instantiate the multiprocessing pool using with (#1436)
  • Slight optimization of pixel decoding (#1412)
  • [easy] point starfish.data.osmFISH() to new dataset (#1425)
  • [easy] Warn about the deprecation of the MaxProject filter (#1390)

0.1.2 - 2019-06-19

  • Refactor reduce to take an optional module and only a function name. (#1386)
  • Codify the expectation that in-place experiment construction does not rely on TileFetcher data (#1389)
  • Warn and return empty SpotAttributes when PixelDecoding finds 0 spots (#1400)
  • updating data.merfish link to full dataset (#1406)
  • Rename tile_coordinates to tile_identifier (#1401)
  • Support for irregular images in the builder (#1382)
  • Fix how we structure the run notebook rules. (#1384)
  • updated loading data docs and added image of napari viewer (#1387)
  • Format complete ISS experiment and expose in starfish.data (#1316)
  • Add concatenate method for ExpressionMatrix (#1381)
  • Add TransformsList repr (#1380)
  • Fix 3d smFISH notebook as well. (#1385)
  • Add custom clip Filter classes (#1376)
  • Fix smFISH notebook. (#1383)
  • Add Filter.Reduce (general dimension reduction for ImageStack) (#1342)
  • Handle denormalized numbers when normalizing intensities/codebooks (#1371)
  • TileFetcher formats complete 496 fov MERFISH dataset (#1341)
  • Refactor fov.getImage() to fov.getImages() (#1346)
  • Add the ability to write labeled experiments (#1374)
  • Add inplace TileFetcher module back to public builder API (#1375)
  • Always create Z coordinates, even on 4D datasets. (#1358)
  • Create an all-purpose ImageStack factory (#1348)
  • Remove physical_coordinate_calculator.py (#1352)
  • ImageStack parsers should provide coordinates as an array (#1351)
  • bump to slicedimage 3.1.1 (#1343)
  • Creating a standard starfish.wdl that can be run with any recipe file (#1364)

0.1.1 - 2019-05-16

  • [Easy] Fixing spot detection for labeled axes (#1347)
  • Schema versioning (#1278)
  • Add a missing parameter to wrapper for trackpy local max peak finder (#1300)
  • Fix physical coordinate calculator (#1350)
  • Fix spot detection for labeled data. (#1349)
  • Adding back ability to crop on fov.get_image() (#1329)
  • RFC: Base calling filter for in situ sequencing (#1281)
  • Preserve subpixel offsets from spot detection (#1330)

0.1.0 - 2019-04-23

  • public/private separation (#1244)
  • Recipe and recipe execution (#1192)
  • 3d smFISH notebook (#1238)
  • SeqFISH notebook (#1239)
  • Adding windows install instructions (#1227)
  • vectorize labeling spot lookups (#1215)
  • vectorize imagestack -> intensity_table coordinate transfer (#1212)
  • Fix the restoration of non-indexed axes. (#1189)
  • Allow for intensity tables with labeled axes (#1181)
  • ImageStack select on Physical Coordinates (#1147)
  • fixing Clip.SCALE_BY_IMAGE (#1193)
  • Update BaristaSeq text, fix LinearUnmixing (#1188)
  • Update STARmap notebook for SpaceJam (#1199)
  • replace label images with segmentation masks (#1135)
  • BaristaSeq + Plot tools update (#1171)
  • Intensity Table Concat Processing (#1118)

0.0.36 - 2019-04-10

  • Update strict requirements (#1142)
  • High level goal: detect spots should accept imagestacks and not numpy arrays. (#1143)
  • Remove cropping from PixelSpotDetector, (#1120)
  • Add LocalSearchBlobDetector to support BaristaSeq, SeqFISH, STARmap (#1074)
  • Indirect File click types (#1124)
  • Move the registration tests next to their sources. (#1134)
  • Test to verify that inplace experiment construction works. (#1131)
  • Additional support code for building experiments in-place. (#1127)

0.0.35 - 2019-04-03

  • Transfer physical Coords to Expression Matrix (#965)
  • Support for hierarchical directory structures for experiments. (#1126)
  • Pipeline Components: LearnTransform and ApplyTransform (#1083)
  • Restructure the relationship between PipelineComponent and AlgorithmBase (#1095)

0.0.34 - 2019-03-21

  • Adding ability to pass aligned group to Imagestack.from_path_or_url (#1069)
  • Add Decoded Spot Table (#1087)
  • Enable appending to existing napari viewer in display() (#1093)
  • Change tile shape to a dict by default (#1072)
  • Add ElementWiseMult Filter Pipeline Component (#983)
  • Add linear unmixing pipeline component (#1056)
  • Spiritual Bag of Images Refactor: Part 1 (#986)
  • Add to provenance log (#968)

0.0.33 - 2019.02.14

  • Last release without a changelog!