This collection puts red blood cell (RBC) imaging and analysis data into the public domain to enable reproducible research and provide a standard for the comparison of new methods. Each dataset contains 1280X1024 grayscale microscopy images of RBCs from an inverted bright-field microscope (IX79, Olympus American, Inc., Center Valley, PA) using a high-speed camera (MC1362, Mikrotron GmbH, Unterschleisheim, Germany). Accompanying each set of images are binary cell masks, RBC bounding boxes, cell morphology labels, as well as other statistics and outputs from in-house processing.
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Sep 11, 2022
Routt, Austin H.; Lu, Madeleine; Shevkoplyas, Sergey S., 2022, "Cells-In-Wells", https://doi.org/10.18738/T8/PSQKWF, Texas Data Repository, V2
Cells-In-Wells (CIW) contains images, videos, binary masks, bounding boxes, morphology labels, cell tracking data, and other metrics of red blood cells (RBCs) in microfluidic wells undergoing washing in human serum albumin, saline, or autologous storage medium. RBC units are from...
Sep 11, 2022 - Cells-In-Wells
ZIP Archive - 5.5 MB - MD5: e816dce673ba615cd9c8b968c75f0454
Sep 11, 2022 - Cells-In-Wells
ZIP Archive - 48.8 MB - MD5: 2b5335e91306e45e3f2e1f88b5872813
Sep 11, 2022 - Cells-In-Wells
Plain Text - 949 B - MD5: 473b0933a48db22a766f7d45f0af671e
Sep 11, 2022 - Cells-In-Wells
ZIP Archive - 105.9 MB - MD5: dc25901a54ee9816d8cf45002b9ac258
Sep 11, 2022 - Cells-In-Wells
MATLAB Data - 412.2 MB - MD5: 9550bfb8c00f0292722c039535de03de
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