Results 81 to 90 of about 173,196 (125)

Modular computer programs for flow cytometry and sorting: The LACEL system [PDF]

, 1981
G.C. Salzman, Sean Wilkins, J. A. Whitfill   +2 more
openalex   +1 more source

Interinstitutional variability in DNA flow cytometric analysis of tumors. The National Cancer Institute's flow cytometry network experience [PDF]

, 1988
John S. Coon, Arline D. Deitch, Ralph W. Vere De White, Leopold G. Koss, Myron R. Melamed, Jay E. Reeder, Ronald S. Weinstein, Leon L. Wheeless, Robert P. Wersto   +8 more
openalex   +1 more source

DNA image cytometry on machine‐selected breast cancer cells and a comparison between flow cytometry and scanning cytophotometry [PDF]

, 1985
Cornelis J. Cornelisse, Anneke M. Van Driel‐Kulker   +1 more
openalex   +1 more source

FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking [PDF]

arXiv
This paper presents FlowCyt, the first comprehensive benchmark for multi-class single-cell classification in flow cytometry data. The dataset comprises bone marrow samples from 30 patients, with each cell characterized by twelve markers. Ground truth labels identify five hematological cell types: T lymphocytes, B lymphocytes, Monocytes, Mast cells, and
arxiv  

A system for storage and retrieval of individual cells following flow cytometry.

, 1979
Elliot Robert Schildkraut, M Hercher, Howard M. Shapiro, R. E. Young, N Matsu, David C. Brown, Robert H. Webb   +6 more
openalex   +1 more source

Is the central dogma of flow cytometry true: That fluorescence intensity is proportional to cellular dye content? [PDF]

, 1982
Milton Kerker, M. A. Van Dilla, A. Brunsting, J. P. Kratohvil, Po Chun Huang Hsu, D. S. Wang, J. W. Gray, Richard G. Langlois   +7 more
openalex   +1 more source

Supervised Contamination Detection, with Flow Cytometry Application [PDF]

arXiv
The contamination detection problem aims to determine whether a set of observations has been contaminated, i.e. whether it contains points drawn from a distribution different from the reference distribution. Here, we consider a supervised problem, where labeled samples drawn from both the reference distribution and the contamination distribution are ...
arxiv  

Comparative analysis of lymphocyte phenotypes between carriers of human immunodeficiency virus(HIV) and adult patients with primary immunodeficiency using two-color immunofluorescence flow cytometry.

, 1988
Tatsuharu Ohno, T Kanoh, Takayo Suzuki, Tohru Masuda, Kagemasa Kuribayashi, Shinichi Araya, HISAJI ARAI, Haruto Uchino   +7 more
openalex   +2 more sources

Detection of Escherichia coli in blood using flow cytometry [PDF]

, 1985
J D Mansour, Jillian A. Robson, Carolyn W. Arndt, Thomas Schulte   +3 more
openalex   +1 more source

Digital cytometry: extraction of forward and side scattering signals from holotomography [PDF]

arXiv
Flow cytometry is a cornerstone technique in medical and biological research, providing crucial information about cell size and granularity through forward scatter (FSC) and side scatter (SSC) signals. Despite its widespread use, the precise relationship between these scatter signals and corresponding microscopic images remains underexplored.
arxiv