MANTIS: A real-time quantitative multispectral imaging system for fusion plasmas

2019 ◽  
Vol 90 (12) ◽  
pp. 123514 ◽  
Author(s):  
A. Perek ◽  
W. A. J. Vijvers ◽  
Y. Andrebe ◽  
I. G. J. Classen ◽  
B. P. Duval ◽  
...  
Keyword(s):  
Real Time ◽  
Multispectral Imaging ◽  
Imaging System ◽  
Fusion Plasmas

Conceptual design and proof-of-principle testing of the real-time multispectral imaging system MANTIS

2017 ◽  
Vol 12 (12) ◽  
pp. C12058-C12058 ◽  
Author(s):  
W.A.J. Vijvers ◽  
R.T. Mumgaard ◽  
Y. Andrebe ◽  
I.G.J. Classen ◽  
B.P. Duval ◽  
...  
Keyword(s):  
Real Time ◽  
Conceptual Design ◽  
Multispectral Imaging ◽  
Imaging System ◽  
The Real ◽  
Proof Of Principle

Real-time multispectral imaging system for online poultry fecal inspection using unified modeling language

2007 ◽  
Vol 1 (2) ◽  
pp. 45-54 ◽  
Author(s):  
Bosoon Park ◽  
Michio Kise ◽  
Kurt C. Lawrence ◽  
William R. Windham ◽  
Douglas P. Smith ◽  
...  
Keyword(s):  
Real Time ◽  
Multispectral Imaging ◽  
Imaging System ◽  
Unified Modeling Language ◽  
Modeling Language ◽  
Unified Modeling

Real-time multispectral imaging system for online poultry fecal inspection using UML

2006 ◽  
Author(s):  
Bosoon Park ◽  
Michio Kise ◽  
Kurt C. Lawrence ◽  
William R. Windham ◽  
Douglas P. Smith ◽  
...  
Keyword(s):  
Real Time ◽  
Multispectral Imaging ◽  
Imaging System

Improving Performance of Real-time Multispectral Imaging System

2008 ◽  
Author(s):  
Bosoon Park ◽  
Seung Chul Yoon ◽  
Michio Kise ◽  
Kurt C Lawrence ◽  
William R Windham
Keyword(s):  
Real Time ◽  
Multispectral Imaging ◽  
Imaging System

747 Evaluation of immune microenvironment of primary lung cancer and synchronous liver metastasis with multispectral imaging system

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A795-A795
Author(s):  
Hyeonbin Cho ◽  
Jae-Hwan Kim ◽  
Ji-Hyun Kim
Keyword(s):  
T Cells ◽  
Liver Metastasis ◽  
Multispectral Imaging ◽  
Immune Cell ◽  
Imaging System ◽  
Cytotoxic T Cells ◽  
Primary Lung Cancer ◽  
Helper T Cells ◽  
Synchronous Liver Metastasis ◽  
Immune Microenvironment

BackgroundCancer immunotherapy (CIT) has substantially improved the survival of cancer patients. However, according to recent studies, liver metastasis was reported to predict worse outcomes for CIT. The main objective of the study is to evaluate the differences in the immune microenvironment (IME) between the primary lung cancer (PL) and synchronous liver metastasis (LM) using a multispectral imaging system.MethodsSix immune markers (CD4, CD8, CTLA-4, granzyme B (GZB), Foxp3 and PD-L1) were analyzed using a multiplex IHC system and inForm program (Akoya) on paired lung-liver samples of 10 patients. Cells were categorized into tumor nest and stroma, and cell counts per unit area were measured for comparison.ResultsThe number of tumor-infiltrating cytotoxic T cells (TIL) in PL (262.5 cells/mm2) was higher than that of LM (113.3 cells/mm2). Additionally, the ratio between the number of TIL and non-TIL was greater in PL (0.31) compared to that of LM (0.26). A similar trend appeared for Helper T cells and regulatory T cells (Treg), as PL consisted of higher numbers of T cells (791.8 Helper T cells/mm2, 195.7 Treg/mm2) than LM (626.3 Helper T cells/mm2, 121.3 Treg/mm2). However, cytotoxic T cells exhibiting GZB+ and CTLA-4- were fewer in PL (140.2 cells/mm2) than in LM (203.3 cells/mm2), and the ratio is 0.69. The mean number of GZB+ TIL in PL (32.5 cells/mm2) was lower than in LM (35.3 cells/mm2), and their proportions among total TIL counts were 0.12 and 0.31, respectively. In PL, GZB+: GZB- ratio is 0.16 while the ratio is 1.91 for LM. A fewer number of TILs exhibiting GZB suggests that PL has lower efficiency in immune response than LM. Another crucial checkpoint receptor that inhibits immune response, CTLA-4, was more prevalent in PL, with CTLA-4+: CTLA-4- ratio in Treg being 0.36 in PL, compared to 0.11 in LM. The tumor proportion score (TPS) of PD-L1 was higher in PL than LM (40.0 vs. 6.6).ConclusionsIn our study, we showed the differences in the numbers of TIL or regulatory T cells and expressions of immune checkpoint receptors (PD-L1, CTLA-4), which significantly influence outcomes for CIT. The study is ongoing to confirm different IME between the PL and LM groups in a larger tumor cohort.ReferencesPeng, Jianhong, et al., Immune Cell Infiltration in the Microenvironment of Liver Oligometastasis from Colorectal Cancer: Intratumoural CD8/CD3 Ratio Is a Valuable Prognostic Index for Patients Undergoing Liver Metastasectomy. Cancers 2019 Dec; 11(12): 1922. https://doi.org/10.3390/cancers11121922Tumeh, Paul C., et al., Liver Metastasis and treatment outcome with Anti-PD-1 monoclonal antibody in patients with melanoma and NSCLC. Cancer Immunol Res 2017 May; 5(5): 417–424. doi: 10.1158/2326-6066.CIR-16-0325Parra, E.R., Immune Cell Profiling in Cancer Using Multiplex Immunofluorescence and Digital Analysis Approaches; Streckfus, C.F., Ed.; IntechOpen: London, UK, 2018; pp. 1–13. doi: 10.5772/intechopen.80380Ribas, A., Hu-Lieskovan, S., What does PD-L1 positive or negative mean?. The Journal of Experimental Medicine 2016;213(13):2835–2840. https://doi.org/10.1084/jem.20161462

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