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Summary
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Microscopic images were captured from bone marrow aspirate slides of patients diagnosed with B-lineage acute lymphoid leukemia and multiple myeloma as per the standard guidelines. Slides were stained using Jenner-Giemsa stainand H&E stains. Images were captured at 1000x magnication magnification using Nikon Eclipse-200 microscope equipped with a digital camera. Images were captured in raw BMP format with a size of 2560x1920 pixels. In all, this dataset consists of 30 90 images of B-ALL and 30 , 100 images of MM, and 116 images of MMH&E. Both MM and B-ALL images have sucient sufficient variability from one image to another image to rigorously test any stain normalization methodology developed. |
Additional Information
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Data Subset-1: H&E stained images The first data subset contains publicly available Hematoxylin-Eosin (H&E) stained microscopic images of breast cancer collected from online site “http://bioimage.ucsb.edu/research/bio-segmentation”. This dataset consists of 58 images, wherein one image has been used as the reference image and the proposed stain normalization method has been tested on 57 images. The mapping of image numbers to the actual file names provided by the authors at “http://bioimage.ucsb.edu/research/bio-segmentation” is provided here. Further, for each of these 58 images, we have also provided one additional image that contains the nucleus mask for that particular image. For example, if the original file is saved with the name “H&E_1.tif”, the corresponding image with mask on the nuclei is saved as “H&E_1_nucleus_mask.tif.” Thus, in all, we have 116 images for this dataset. Data subset-2: ALL images Microscopic images were captured from bone marrow aspirate slides of patients diagnosed with B-lineage Acute Lymphoblastic Leukemia (B-ALL). Slides were stained using Jenner-Giemsa stain and lymphoblasts, that are cells of interest, have been evaluated. Images were captured in raw BMP format with a size of 2560x1920 pixels using Nikon Eclipse-200 microscope equipped with a digital camera at 1000x magnification. In all, this dataset consists of 30 images, wherein one image has been used as the reference image and the proposed stain normalization method has been tested on 29 images. For each of these 30 images, we have also provided two additional images that contain the nucleus mask and the background mask, respectively, for that particular image. For example, if the original file is saved with the name “ALL_1.bmp”, the corresponding image with mask on the nuclei is saved as “ALL_1_nucleus_mask.bmp”, and the corresponding image with mask on the background is saved as “ALL_1_background_mask.bmp Thus, in all, we have 90 images for this dataset. Data subset-3: MM images The third data subset contains microscopic images captured from slides prepared from bone marrow aspirate collected from patients with Multiple Myeloma (MM). Slides are stained using Jenner-Giemsa stain and plasma cells, that are cells of interest, have been evaluated. A total of 30 images have been considered, wherein one image has been used as the reference image to which 29 images have been stain normalized. For each of these 30 images, we have also provided two additional images that contain the nucleus mask and the background mask, respectively, for that particular image. For example, if the original file is saved with the name “MM_1.bmp”, the corresponding image with mask on the nuclei is saved as “MM_1_nucleus_mask.bmp”, and the corresponding image with mask on the background is saved as “MM_1_background_mask.bmp. In addition, for 17 images, the mask images are also provided for the cytoplasm of the plasma cells, namely, “MM_1_cyto_mask.bmp. Thus, in all, we have 100 images for this dataset. |
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