Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Classification of Leukocytes01:30

Classification of Leukocytes

2.7K
Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
2.7K
Structure and Function of Leukocytes01:21

Structure and Function of Leukocytes

2.4K
An adult in good health typically has between 4,500 and 11,000 leukocytes, or white blood cells, per microliter of blood, which constitutes about 1% of the total blood volume. Unlike red blood cells, white blood cells contain a nucleus and other cellular organelles but do not have hemoglobin. Most white blood cells reside in connective tissues, particularly in lymphatic organs such as the lymph nodes, with only a small fraction present in circulating blood.
White blood cells protect the body...
2.4K
Disorders of Leukocytes01:27

Disorders of Leukocytes

1.2K
Leukocyte disorders can lead to either leukopenia, characterized by an abnormally low leukocyte count, or leukocytosis, marked by a very high leukocyte number.
Leukopenia may result from bone marrow disorders, autoimmune diseases, and infectious diseases. For example, conditions such as multiple myeloma and aplastic anemia can impair the bone marrow's ability to produce adequate leukocytes. Similarly, autoimmune diseases like lupus and viral infections such as HIV can prompt the immune...
1.2K
Differentiation of Common Myeloid Progenitor Cells01:15

Differentiation of Common Myeloid Progenitor Cells

3.3K
Common myeloid progenitors (CMPs) are oligopotent cells that can differentiate into granulocytes and macrophages. Granulocytes and macrophages are essential for protecting the body against bacterial, viral, or fungal infections. They migrate from the bone marrow into the circulating blood to reach specific tissue sites where they differentiate and help in immune surveillance. However, they survive only for a few days and must be continuously made available to the organism to maintain a robust...
3.3K
Cells of the Adaptive Immune Response01:23

Cells of the Adaptive Immune Response

4.4K
The T and B lymphocytes of the adaptive immune system develop from common lymphoid progenitor cells in the bone marrow. These progenitors give rise to precursors that eventually develop into both T and B lymphocytes. As these precursors mature, they gain the ability to detect and respond to foreign antigens in the body, a process known as immunocompetence. Additionally, these precursors acquire self-tolerance, a process that ensures they do not react to self-antigens. This intricate system...
4.4K
Classification of Illness01:17

Classification of Illness

8.0K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.0K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Ten-day decitabine vs "3+7" in patients with AML aged ≥60 years: long-term results of the randomized phase 3 EORTC trial AML21.

Blood neoplasia·2026
Same author

Recent advances in metal sulfide nanozymes for sensing.

RSC advances·2026
Same author

Limited predictive value of PD-L1 TPS for pathological response in NSCLC is not attributable to interobserver variability.

Lung cancer (Amsterdam, Netherlands)·2026
Same author

Histological evaluation of hysterectomy specimens after NovaSure<sup>®</sup> endometrial ablation in patients with atypical endometrial hyperplasia or endometrial carcinoma.

Archives of gynecology and obstetrics·2026
Same author

AI-assisted histomorphological stratification of endometrial cancer: real-world validation of foundation models for molecular subtyping.

NPJ precision oncology·2026
Same author

What is the best path towards allogeneic transplantation in MDS and AML? A survey among German-spreaking centers for allogeneic hematopoietic stem cell transplantation.

Annals of hematology·2026

相关实验视频

Updated: Sep 15, 2025

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
08:58

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Published on: November 19, 2018

12.7K

域增量白细胞分类与隐私意识的持续学习.

Pratibha Kumari1, Afshin Bozorgpour2, Daniel Reisenbüchler2

  • 1University of Regensburg, Regensburg, 93053, Germany. pratibha.kumari@ur.de.

Scientific reports
|July 15, 2025
PubMed
概括

本研究介绍了一种使用生成重复的持续学习策略,以防止白细胞 (WBC) 分类模型中的遗忘. 该方法在各种医学成像领域保持高性能,这对于临床诊断至关重要.

更多相关视频

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

697
Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation
12:05

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation

Published on: November 3, 2018

11.8K

相关实验视频

Last Updated: Sep 15, 2025

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
08:58

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Published on: November 19, 2018

12.7K
Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

697
Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation
12:05

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation

Published on: November 3, 2018

11.8K

科学领域:

  • 医学诊断 医学诊断 医学诊断
  • 医疗保健中的人工智能
  • 计算生物学 计算生物学

背景情况:

  • 白血细胞 (WBC) 的分类对于诊断血液病症至关重要.
  • 医学成像领域的转变 (例如,样本来源,成像条件) 挑战了深度学习模型.
  • 传统模型遭受了灾难性的遗忘,基础模型随着分配转移而退化.

研究的目的:

  • 制定持续学习 (CL) 策略,以防止WBC分类的基础模型中的遗忘.
  • 在动态的临床环境中解决因域移动引起的性能退化问题.
  • 为了实现保护隐私的数据重播,以便进行强大的模型训练.

主要方法:

  • 为WBC分类提出了一个基于重复的CL策略.
  • 利用轻量级的发电机来创建过去数据的合成隐性表示.
  • 使用四个数据集和四个骨干模型 (ResNet50,RetCCL,CTransPath,UNI) 进行了广泛的实验.

主要成果:

  • 传统的微调方法在先前的任务中表现下降,并且在域移动方面遇到了困难.
  • 拟议的CL战略有效地缓解了灾难性的遗忘.
  • 模型性能在不同的数据域和任务顺序中得到保留.

结论:

  • 基于生成重复的CL策略为保持可靠的WBC分类提供了一个实际的解决方案.
  • 这种方法在现实世界的临床环境中增强了模型的稳定性,随着数据分布的不断变化.
  • 该方法确保了持续的诊断准确性,尽管领域变化和持续学习.