HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS, Bone marrow - Male, 43 - Tissue image [11290630017296031] - Open Research Data - Bridge of Knowledge

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HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS, Bone marrow - Male, 43 - Tissue image [11290630017296031]

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: 43

Clinical description: Patient diagnosed with DLBCL lymphoma, NOS based on supraclavicular lymph node biopsy

Gender: Male

Diagnosis:

Classification: Healthy

Classification code:

Diagnosis:

Result of the histopathological examination: There is no lymphoma iniltrates in the biopsy Bone marrow with cellularity of approx. 60% Topography and maturation paths of the main lines of hemopoiesis without significant deviations, M: E ratio 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/HE

Staining: Not applicable

Antibody: Not applicable

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

94634c72-5e9c-495a-83a6-7b3cff29488e
1.9 GB, S3 ETag , downloads: 26
The file hash is calculated from the formula
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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 10.34808/1h7f-s293 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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