HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS, Bone marrow - Male, 66 - Tissue image [11290630017295901] - Open Research Data - Bridge of Knowledge

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HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS, Bone marrow - Male, 66 - Tissue image [11290630017295901]

Description

This is the histopathological image of HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

The detailed information about the patient, sample, and diagnosis are as follows:

Patient:

Age: 66

Clinical description: Patient with diagnosed CLL/SLL. Biopsy performed to assess infiltration of bone marrow.

Gender: Male

Diagnosis:

Classification: Healthy

Classification code:

Diagnosis:

Result of the histopathological examination: No lymphoma infiltrates are found in the biopsy Marrow with a cellularity of approx. 40%. Topography and maturation pathways of the main lines of hemopoiesis without significant deviations, M:E ratio as of 4:1. Megakaryocytes with normal distribution and morphology. Bone trabeculae without significant changes.

Sample:

Material: FFPE

Collecting method: Bone marrow biopsy

Topography: HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS

Organ: HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS

Tissue: Bone marrow

Type of staining: positive/HC

Staining: Gomori's Trichrome

Antibody: Not applicable

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

8e4eb1d6-8046-4248-ae8e-4ceb270fa43d
1.2 GB, S3 ETag , downloads: 3
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5

File details

License:
Creative Commons: by-nc-sa 4.0 open in new tab
CC BY-NC-SA
Non-commercial - Share-alike
Raw data:
Data contained in dataset was not processed.
Software:
CaseViewer 2.3

Details

Year of publication:
2021
Verification date:
2021-10-29
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/hnzx-0k39 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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