Data underlying the publication: Imaging Flow Cytometry for High-Throughput Phenotyping of Synthetic Cells
doi: 10.4121/2dc581d0-0237-48dd-b893-1de9f3f47097
Data underlying the publication: 1. Godino, E., Restrepo Sierra, A. M. & Danelon, C. Imaging Flow Cytometry for High-Throughput Phenotyping of Synthetic Cells. ACS Synth. Biol. 12, 2015–2028 (2023).
The hereby provided research was designed and performed as part of the synthetic biology and BaSyc (NL) consortium efforts to build a synthetic cell from the bottom up. The provided dataset is fraction (100K) of a bigger data set from gene-expressing synthetic vesicles. The data was recorded with The Cytek® Amnis® ImageStream®X Mk II, and analyzed using the IDEAS image analysis software as indicated in the above mentioned publication. Each of the provided files contains the pipeline used for the analysis of the data and can be used as templates for a new analysis. The names of the files indicate the phenotype that was being analyzed, and the figure in the manuscript to which the data belongs to.
- 2023-12-11 first online, published, posted
DATA
- 2,256 bytesMD5:
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README.txt - 918,369,875 bytesMD5:
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IDEAS file _ Btub_2 S1_100K From this for figure 6.daf - 215,825,171 bytesMD5:
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IDEAS file _ DNArep_3 S1_100K From here figure 5.daf - 223,690,062 bytesMD5:
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IDEAS file _ Empty_7 S1_100K Liposome screening updated.daf - 285,128,481 bytesMD5:
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IDEAS file _ minDC_1 S1_100K From this for figure7.daf - 213,461,671 bytesMD5:
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IDEAS file _ YFP_Lots_2 S2_100K From this one figure 4.daf - 10,601,156 bytesMD5:
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Imaging-flow-cytometry-for-high-throughput-phenotyping-of-synthetic-cells.pdf - 307,932 bytesMD5:
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supplementary information-Imaging-flow-cytometry-for-high-throughput-phenotyping-of-synthetic-cells.pdf -
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