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Updated: May 10, 2025

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
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基于投影追踪的差异细胞流细胞计分析的新型机器学习方法

Mahan Dastgiri1, Javier Cabrera1, Yajie Duan1

  • 1Department of Statistics, School of Arts and Sciences, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.

Journal of biopharmaceutical statistics
|April 20, 2025
PubMed
概括

差分投影追求为分析大型细胞流细胞计数据集提供了一种新的自动化方法. 这种方法通过在实验条件下识别不同的细胞群来提高清晰度和可重复性.

关键词:
大数据就是大数据.数据碎片的数据块.不同投影追求差异投影的追求流动细胞计量是流动细胞计量的方法.机器学习是机器学习.瓦里马克斯旋转轮转

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相关概念视频

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.
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