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Ye B, Chen J, Fu L, Wang Y. Application of nondestructive evaluation (NDE) technologies throughout cold chain logistics of seafood: Classification, innovations and research trends. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.113127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Yahav G, Weber Y, Duadi H, Pawar S, Fixler D. Classification of fluorescent anisotropy decay based on the distance approach in the frequency domain. OPTICS EXPRESS 2022; 30:6176-6192. [PMID: 35209559 DOI: 10.1364/oe.453108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 02/01/2022] [Indexed: 06/14/2023]
Abstract
Frequency-domain (FD) fluorometry is a widely utilized tool to probe unique features of complex biological structures, which may serve medical diagnostic purposes. The conventional data analysis approaches used today to extract the fluorescence intensity or fluorescence anisotropy (FA) decay data suffer from several drawbacks and are inherently limited by the characteristics and complexity of the decay models. This paper presents the squared distance (D2) technique, which categorized samples based on the direct frequency response data (FRD) of the FA decay. As such, it improves the classification ability of the FD measurements of the FA decay as it avoids any distortion that results from the challenged translation into time domain data. This paper discusses the potential use of the D2 approach to classify biological systems. Mathematical formulation of D2 technique adjusted to the FRD of the FA decay is described. In addition, it validates the D2 approach using 2 simulated data sets of 6 groups with similar widely and closely spaced FA decay data as well as in experimental data of 4 samples of a fluorophore-solvent (fluorescein-glycerol) system. In the simulations, the classification accuracy was above 95% for all 6 groups. In the experimental data, the classification accuracy was 100%. The D2 approach can help classify samples whose FA decay data are difficult to extract making FA in the FD a realistic diagnostic tool. The D2 approach offers an advanced method for sorting biological samples with differences beyond the practical temporal resolution limit in a reliable and efficient manner based on the FRD of their time-resolved fluorescence measurements thereby achieving better diagnostic quality in a shorter time.
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Yahav G, Diamandi HH, Preter E, Fixler D. The squared distance approach to frequency domain time-resolved fluorescence analysis. JOURNAL OF BIOPHOTONICS 2019; 12:e201800485. [PMID: 30809961 DOI: 10.1002/jbio.201800485] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2018] [Revised: 02/24/2019] [Accepted: 02/25/2019] [Indexed: 06/09/2023]
Abstract
A frequency-domain (FD) analysis of fluorescence lifetime (FLT) is a unique and rapid method for cellular and intracellular classifications that can serve for medical diagnostics purposes. Nevertheless, its data analysis process demands nonlinear fitting algorithms that may distort the resolution of the FLT data and hence diminish the classification ability of the method. This research suggests a sample classification technique that is unaffected by the analysis process as it is based on the squared distance (D2 ) between the raw frequency response data (FRD). In addition, it presents the theory behind this technique and its validation in two simulated data sets of six groups with similar widely and closely spaced FLT data as well as in experimental data of 43 samples from bacterial and viral infected and non-infected patients. In the two simulated tests, the classification accuracy was above 95% for all six groups. In the experimental data, the classification of 41 out of 43 samples matched earlier report and 29 out of 31 agreed with preliminary physician diagnosis. The D2 approach has the potential to promote FD-time resolved fluorescence measurements as a medical diagnostic technique with high specifity and high sensitivity for many of today's conventional diagnostic procedures.
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Affiliation(s)
- Gilad Yahav
- Faculty of Engineering and the Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - Hilel H Diamandi
- Faculty of Engineering and the Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - Eyal Preter
- Faculty of Engineering and the Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - Dror Fixler
- Faculty of Engineering and the Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
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Gershanov S, Michowiz S, Toledano H, Yahav G, Barinfeld O, Hirshberg A, Ben-Zvi H, Mircus G, Salmon-Divon M, Fixler D, Goldenberg-Cohen N. Fluorescence Lifetime Imaging Microscopy, a Novel Diagnostic Tool for Metastatic Cell Detection in the Cerebrospinal Fluid of Children with Medulloblastoma. Sci Rep 2017. [PMID: 28623325 PMCID: PMC5473849 DOI: 10.1038/s41598-017-03892-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
In pediatric brain tumours, dissemination of malignant cells within the central nervous system confers poor prognosis and determines treatment intensity, but is often undetectable by imaging or cytology. This study describes the use of fluorescence lifetime (FLT) imaging microscopy (FLIM), a novel diagnostic tool, for detection of metastatic spread. The study group included 15 children with medulloblastoma and 2 with atypical teratoid/rhabdoid tumour. Cells extracted from the tumour and the cerebrospinal fluid (CSF) 2 weeks postoperatively and repeatedly during chemo/radiotherapy were subjected to nuclear staining followed by FLT measurement and cytological study. Control CSF samples were collected from patients with infectious/inflammatory disease attending the same hospital. Median FLT was prolonged in tumour cells (4.27 ± 0.28 ns; P < 2.2*10−16) and CSF metastatic cells obtained before chemo/radiotherapy (6.28 ± 0.22 ns; P < 2.2*10−16); normal in inflammatory control cells (2.6 ± 0.04 ns) and cells from children without metastasis before chemo/radiotherapy (2.62 ± 0.23 ns; P = 0.858) and following treatment (2.62 ± 0.21 ns; P = 0.053); and short in CSF metastatic cells obtained after chemo/radiotherapy (2.40 ± 0.2 ns; P < 2.2*10−16). FLIM is a simple test that can potentially identify CSF spread of brain tumours. FLT changes in accordance with treatment, with significant prolonged median values in tumours and metastases. More accurate detection of metastatic cells may guide personalised treatment and improve the therapeutic outcome.
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Affiliation(s)
- Sivan Gershanov
- Genomic Bioinformatics Laboratory, Department of Molecular Biology, Ariel University, Ariel, 40700, Israel.,The Krieger Eye Research Laboratory, Felsenstein Medical Research Center, Beilinson Hospital, Petach Tikva 4941492, affiliated to Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Shalom Michowiz
- Department of Pediatric Neurosurgery, Schneider Children's Medical Center of Israel, Petach Tikva, 4920235, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Helen Toledano
- Department of Pediatric Oncology, Schneider Children's Medical Center of Israel, Petach Tikva, 4920235, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Gilad Yahav
- Faculty of Engineering and Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, 5290002, Israel
| | - Orit Barinfeld
- The Krieger Eye Research Laboratory, Felsenstein Medical Research Center, Beilinson Hospital, Petach Tikva 4941492, affiliated to Tel Aviv University, Tel Aviv, 6997801, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Avraham Hirshberg
- Department of Oral Pathology and Oral Medicine, Maurice and Gabriela Goldschleger School of Dental Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Haim Ben-Zvi
- Laboratory of Microbiology, Rabin Medical Center - Beilinson Hospital, Petach Tikva, 4941492, Israel
| | - Gabriel Mircus
- Laboratory of Microbiology, Rabin Medical Center - Beilinson Hospital, Petach Tikva, 4941492, Israel
| | - Mali Salmon-Divon
- Genomic Bioinformatics Laboratory, Department of Molecular Biology, Ariel University, Ariel, 40700, Israel
| | - Dror Fixler
- Faculty of Engineering and Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, 5290002, Israel
| | - Nitza Goldenberg-Cohen
- The Krieger Eye Research Laboratory, Felsenstein Medical Research Center, Beilinson Hospital, Petach Tikva 4941492, affiliated to Tel Aviv University, Tel Aviv, 6997801, Israel. .,Department of Ophthalmology, Bnai Zion Medical Center, Haifa, 3339419, Israel.
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