Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning.
about
High accuracy label-free classification of single-cell kinetic states from holographic cytometry of human melanoma cells.Meiotic spindle formation in mammalian oocytes: Implications for human infertility.Three-dimensional label-free imaging and analysis of Pinus pollen grains using optical diffraction tomography.Label-free quantitative evaluation of breast tissue using Spatial Light Interference Microscopy (SLIM).Combining Three-Dimensional Quantitative Phase Imaging and Fluorescence Microscopy for the Study of Cell Pathophysiology
P2860
Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年学术文章
@wuu
2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
@yue
2017年學術文章
@zh
2017年學術文章
@zh-hant
name
Identification of non-activate ...... mography and machine learning.
@en
type
label
Identification of non-activate ...... mography and machine learning.
@en
prefLabel
Identification of non-activate ...... mography and machine learning.
@en
P2093
P2860
P1433
P1476
Identification of non-activate ...... mography and machine learning.
@en
P2093
Kyoohyun Kim
Min-Hyeok Kim
SangYun Lee
Suk-Jo Kang
YongKeun Park
P2860
P2888
P356
10.1038/S41598-017-06311-Y
P407
P577
2017-07-27T00:00:00Z