| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
An open-source solution for advanced imaging flow cytometry data analysis using machine learning
|
Hennig, Holger
|
|
2017
|
112 |
C |
p. 201-210
10 p.
|
artikel
|
| 2 |
Application of imaging flow cytometry for characterization of acute inflammation in non-classical animal model systems
|
More Bayona, Juan A.
|
|
2017
|
112 |
C |
p. 167-174
8 p.
|
artikel
|
| 3 |
Applications of imaging flow cytometry in the diagnostic assessment of acute leukaemia
|
Grimwade, Lizz F.
|
|
2017
|
112 |
C |
p. 39-45
7 p.
|
artikel
|
| 4 |
Characterization of neutrophils and macrophages from ex vivo-cultured murine bone marrow for morphologic maturation and functional responses by imaging flow cytometry
|
Pelletier, Margery G.H.
|
|
2017
|
112 |
C |
p. 124-146
23 p.
|
artikel
|
| 5 |
Consumption of a high-fat, high-calorie meal is associated with an increase in intracellular co-localization of PPAR-γ mRNA and protein in monocytes
|
Henning, Andrea L.
|
|
2017
|
112 |
C |
p. 182-187
6 p.
|
artikel
|
| 6 |
Cover 1
|
|
|
2017
|
112 |
C |
p. OFC-
1 p.
|
artikel
|
| 7 |
Delineating stages of erythropoiesis using imaging flow cytometry
|
McGrath, K.E.
|
|
2017
|
112 |
C |
p. 68-74
7 p.
|
artikel
|
| 8 |
Editorial Board
|
|
|
2017
|
112 |
C |
p. IFC-
1 p.
|
artikel
|
| 9 |
Flow cytometry what you see matters: Enhanced clinical detection using image-based flow cytometry
|
McFarlin, Brian K.
|
|
2017
|
112 |
C |
p. 1-8
8 p.
|
artikel
|
| 10 |
Foundations of identifying individual chromosomes by imaging flow cytometry with applications in radiation biodosimetry
|
Beaton-Green, Lindsay A.
|
|
2017
|
112 |
C |
p. 18-24
7 p.
|
artikel
|
| 11 |
Identification and classification of the malaria parasite blood developmental stages, using imaging flow cytometry
|
Dekel, Elya
|
|
2017
|
112 |
C |
p. 157-166
10 p.
|
artikel
|
| 12 |
Imaging flow cytometry analysis of intracellular pathogens
|
Haridas, Viraga
|
|
2017
|
112 |
C |
p. 91-104
14 p.
|
artikel
|
| 13 |
Imaging flow cytometry for phytoplankton analysis
|
Dashkova, Veronika
|
|
2017
|
112 |
C |
p. 188-200
13 p.
|
artikel
|
| 14 |
Imaging flow cytometry for the characterization of extracellular vesicles
|
Lannigan, Joanne
|
|
2017
|
112 |
C |
p. 55-67
13 p.
|
artikel
|
| 15 |
Imaging flow cytometry for the screening of compounds that disrupt the Plasmodium falciparum digestive vacuole
|
Chia, Wan Ni
|
|
2017
|
112 |
C |
p. 211-220
10 p.
|
artikel
|
| 16 |
Imaging flow cytometry in the assessment of leukocyte-platelet aggregates
|
Hui, Henry
|
|
2017
|
112 |
C |
p. 46-54
9 p.
|
artikel
|
| 17 |
Masks in imaging flow cytometry
|
Dominical, Venina
|
|
2017
|
112 |
C |
p. 9-17
9 p.
|
artikel
|
| 18 |
Multi-parametric imaging of cell heterogeneity in apoptosis analysis
|
Vorobjev, Ivan A.
|
|
2017
|
112 |
C |
p. 105-123
19 p.
|
artikel
|
| 19 |
Qualitative and quantitative analysis of PMN/T-cell interactions by InFlow and super-resolution microscopy
|
Balta, Emre
|
|
2017
|
112 |
C |
p. 25-38
14 p.
|
artikel
|
| 20 |
Quantifying autophagy: Measuring LC3 puncta and autolysosome formation in cells using multispectral imaging flow cytometry
|
Pugsley, Haley R.
|
|
2017
|
112 |
C |
p. 147-156
10 p.
|
artikel
|
| 21 |
Quantifying MHC dextramer-induced NFAT activation in antigen-specific T cells as a functional response parameter
|
Maguire, Orla
|
|
2017
|
112 |
C |
p. 75-83
9 p.
|
artikel
|
| 22 |
Total cellular protein presence of the transcription factor IRF8 does not necessarily correlate with its nuclear presence
|
Minderman, Hans
|
|
2017
|
112 |
C |
p. 84-90
7 p.
|
artikel
|
| 23 |
Using image-based flow cytometry to monitor satellite cells proliferation and differentiation in vitro
|
Luk, Hui-Ying
|
|
2017
|
112 |
C |
p. 175-181
7 p.
|
artikel
|
| 24 |
What you see matters: Enhanced detection using image-based flow cytometry
|
McFarlin, Brian K.
|
|
2017
|
112 |
C |
p. v-
1 p.
|
artikel
|
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