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Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
In...
Production of Formed Elements01:34

Production of Formed Elements

Hemangioblasts are multipotent stem cells originating from the mesoderm. They give rise to hematopoietic stem cells (HSCs), which undergo hematopoiesis to produce all the formed elements of blood. This process is regulated by a complex network of hematopoietic growth factors, including transcription factors, growth factors, and cytokines. These factors stimulate the HSCs to divide and differentiate, though some HSCs remain undifferentiated to maintain a self-renewing pool.
Most HSCs commit to...
Microbial Morphologies01:29

Microbial Morphologies

Bacterial and archaeal cells exhibit remarkable diversity in shape and structure, critical in their adaptability and functionality. Among bacteria, the most commonly observed shapes include cocci and bacilli. Cocci are spherical and may exist singly or in groupings such as pairs (diplococci), chains (streptococci), clusters (staphylococci), or tetrads. Bacilli, in contrast, are rod-shaped and can also occur as single cells, in pairs, or chains, depending on their environmental and genetic...

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Mechanisms by which the surface expression of the glycosyl-phosphatidylinositol-anchored complement regulatory proteins decay-accelerating factor (CD55) and CD59 is lost in human leukaemia cell lines.

The Biochemical journal·1996
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Human herpesvirus-6-associated exanthema in a patient with acute lymphocytic leukaemia.

British journal of haematology·1996
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Activation of lavage lymphocytes in lung injuries caused by radiotherapy for lung cancer.

International journal of radiation oncology, biology, physics·1996
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[Prediction of high risk group of patients with hepatitis-C-virus type liver cirrhosis developing to liver neoplasm].

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[A case of testicular tumor associated with the contralateral undescended testis].

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Related Experiment Video

Updated: Jul 25, 2026

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone
09:31

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Published on: April 8, 2015

[Morphologic analysis of blood cells]

T Kikuchi1, Y Takeda, A Shimizu

  • 1Central Clinical Laboratory, Osaka Medical College Hospital, Takatsuki.

Rinsho Byori. the Japanese Journal of Clinical Pathology
|September 1, 1995
PubMed
Summary

Automated hematology labs require skilled technicians for accurate abnormal cell identification. Proper slide preparation and staining are crucial for reliable blood cell differentials, impacting patient diagnosis.

Area of Science:

  • Hematology
  • Laboratory Medicine
  • Cellular Morphology

Context:

  • Hematology laboratory automation reduces manual blood cell morphological observation.
  • Automated systems perform 5-part differentials, but abnormal cell counting (immature, leukemia cells) remains manual.
  • Technicians encounter abnormal cells more frequently in automated settings, increasing diagnostic reliance on microscopy.

Purpose:

  • To highlight the critical role of manual microscopic observation in automated hematology.
  • To emphasize the necessity of continuous technologist training and standardized procedures.
  • To address challenges in quality control and standardization of blood cell differentials.

Summary:

  • Despite automation, manual microscopic examination of blood cells is essential for diagnosing abnormalities.

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Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
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Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

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Flow Cytometry Analysis of Murine Bone Marrow Hematopoietic Stem and Progenitor Cells and Stromal Niche Cells
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Flow Cytometry Analysis of Murine Bone Marrow Hematopoietic Stem and Progenitor Cells and Stromal Niche Cells

Published on: September 28, 2022

Related Experiment Videos

Last Updated: Jul 25, 2026

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone
09:31

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Published on: April 8, 2015

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
08:59

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

Published on: October 28, 2018

Flow Cytometry Analysis of Murine Bone Marrow Hematopoietic Stem and Progenitor Cells and Stromal Niche Cells
08:34

Flow Cytometry Analysis of Murine Bone Marrow Hematopoietic Stem and Progenitor Cells and Stromal Niche Cells

Published on: September 28, 2022

  • Effective diagnosis depends on well-prepared, properly stained slides and skilled technologist interpretation.
  • Standardizing white blood cell differentiation is challenging due to reliance on individual expertise.

    • Impact:

    • Ensures accurate diagnosis by maintaining high standards in manual cell morphology assessment.
    • Improves reliability of blood cell differentials through standardized training and slide preparation techniques.
    • Facilitates better patient outcomes by addressing critical quality control issues in hematology diagnostics.