HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS, Bone marrow - Male, 50 - Tissue image [112906300172911] - Open Research Data - Bridge of Knowledge

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HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS, Bone marrow - Male, 50 - Tissue image [112906300172911]

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: 50

Clinical description: Patient with night sweats, weight loss - approx. 30 kg for the last 3 months and generalized lymphadeopathy. Based on the supraclavicular lymph node biopsy,Mantle cell lymphoma (MCL) was diagnosed.

Gender: Male

Diagnosis:

Classification: Healthy

Classification code:

Diagnosis:

Result of the histopathological examination: Gomori - reticulin fibrosis not increased Additionaly control tissue for staining - part of liver

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 Silver Impregnation (Reticulum)

Antibody: Not applicable

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

01461a7b-1338-428a-a2fa-82472e2c0ed7
6.2 GB, S3 ETag , downloads: 23
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/j1zn-qn69 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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