Vitamin B12 deficiency anaemia, unspecified - Male, 52 - Cell image [7120730007975601] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Vitamin B12 deficiency anaemia, unspecified - Male, 52 - Cell image [7120730007975601]

Description

This is the histopathological image of HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS cell sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (40x magnification) and saved to DICOM format.

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

Patient:

Age: 52

Clinical description:

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter III - Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism

Diagnosis: Vitamin B12 deficiency anaemia, unspecified

Result of the histopathological examination: Peripheral blood smear shows predominant population of granulocytes with slight "left shift". Nuclear hypersegmentation is present in most mature granulocytes. Significant anisopoikilocytosis is also observed - numerous ovalocytes and oval macrocytes, a few teardrop-shaped red cells.

Sample:

Material: Smear

Collecting method: Not available

Topography: HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS

Organ: HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS

Tissue: Blood

Type of staining: positive/HC

Staining: May Grunwald Giemsa

Antibody: Not applicable

Technology:

Equipment: VS200 Olympus

Lens: 40x

Organization:

Source: Medical University Gdańsk

Dataset file

e4239897-2b31-487f-87a4-1d5677a48fd9
12.2 GB, S3 ETag , downloads: 41
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:
2022
Verification date:
2022-06-30
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/w1fm-tk18 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 116 times