TY - GEN
T1 - Frequency domain fluorescence lifetime imaging microscopy system for detecting inflammatory cells
AU - Yahav, Gilad
AU - Gershanov, Sivan
AU - Salmon-Divon, Mali
AU - Ben-Zvi, Haim
AU - Mircus, Gabriel
AU - Goldenberg-Cohen, Nitza
AU - Fixler, Dror
N1 - Publisher Copyright:
© 2018 SPIE.
PY - 2018
Y1 - 2018
N2 - Characterizing different pathological states in the cellular level with a high throughput diagnostic tool is one of the main interests today. In previously works, we demonstrated how the frequency domain (FD) fluorescence lifetime imaging microscopy (FLIM) technique could be utilized to implement that in variety of examples. Among them was to classify between different chromosomal abnormalities in patients with b-cell chronic lymphocytic leukemia (B-CLL) and between metastatic cells and inflammation cells in the cerebral spinal fluid of patients with Medulloblastoma. This research describes the use of FD-FLIM system to differentiate between patients diagnosed without any disease (controls) that showed a normal median FLT (2.65±0.11ns) and patients diagnosed with inflammation (viruses and bacteria) that showed a prolong median FLT and a larger distribution (3.18±0.44ns in viruses and 3.28±0.45ns). The study group of this research included 43 samples divided into 4 groups: 9 samples diagnosed with different types of bacteria, 16 samples diagnosed with different types of viruses, 12 samples diagnosed with no any bacteria or virus and 5 samples diagnosed without any disease that served as controls. Furthermore, we studied a group of patients without detection of inflammation that were sick. We found that this group was divided into two groups; one group had the same median FLT as the controls, and the other group had the same median FLT as the inflammatory patients. As a result, we believe the FD-FLIM system can suggest a faster and more accurate diagnostic technique than the methods used today. The correlations of the FLT distribution pattern with the different groups are presented.
AB - Characterizing different pathological states in the cellular level with a high throughput diagnostic tool is one of the main interests today. In previously works, we demonstrated how the frequency domain (FD) fluorescence lifetime imaging microscopy (FLIM) technique could be utilized to implement that in variety of examples. Among them was to classify between different chromosomal abnormalities in patients with b-cell chronic lymphocytic leukemia (B-CLL) and between metastatic cells and inflammation cells in the cerebral spinal fluid of patients with Medulloblastoma. This research describes the use of FD-FLIM system to differentiate between patients diagnosed without any disease (controls) that showed a normal median FLT (2.65±0.11ns) and patients diagnosed with inflammation (viruses and bacteria) that showed a prolong median FLT and a larger distribution (3.18±0.44ns in viruses and 3.28±0.45ns). The study group of this research included 43 samples divided into 4 groups: 9 samples diagnosed with different types of bacteria, 16 samples diagnosed with different types of viruses, 12 samples diagnosed with no any bacteria or virus and 5 samples diagnosed without any disease that served as controls. Furthermore, we studied a group of patients without detection of inflammation that were sick. We found that this group was divided into two groups; one group had the same median FLT as the controls, and the other group had the same median FLT as the inflammatory patients. As a result, we believe the FD-FLIM system can suggest a faster and more accurate diagnostic technique than the methods used today. The correlations of the FLT distribution pattern with the different groups are presented.
UR - http://www.scopus.com/inward/record.url?scp=85047523381&partnerID=8YFLogxK
U2 - 10.1117/12.2288220
DO - 10.1117/12.2288220
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:85047523381
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV
A2 - Nicolau, Dan V.
A2 - Cartwright, Alexander N.
A2 - Fixler, Dror
PB - SPIE
T2 - Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV 2018
Y2 - 30 January 2018 through 31 January 2018
ER -