Marco Conti, R. Scanferlato, M. Louka, A. Sansone, Carla Marzetti, C. Ferreri
{"title":"建立高光谱暗场显微镜测定红细胞的光谱文库","authors":"Marco Conti, R. Scanferlato, M. Louka, A. Sansone, Carla Marzetti, C. Ferreri","doi":"10.3233/BSI-160133","DOIUrl":null,"url":null,"abstract":"BACKGROUND: Red blood cells (RBC) are obtained by non-invasive methods and widely used for diagnostic tests of health status. Hyperspectral Dark Field Microscopy (HDFM) is a promising technique for nanoscale bio imaging and spectral analysis without additional sample preparation. OBJECTIVE: Develop a protocol for human RBC characterization by HDFM, checking the feasibility of a reference spectral library that can image and afford a new comprehensive descriptor of RBC status. METHOD: A step-by-step protocol for HDFM measurement of human RBC was for the first time established using 5 µl of EDTA-treated whole blood from healthy adults (n = 30). Hyperspectral characteristics of solutions/suspensions at biological concentrations of phospholipids, hemoglobin, spectrin, cholesterol and protoporphyrin IX, as the most relevant RBC components, were also determined. RESULTS: A library made of 8 end-member spectra and classification of their spectral distribution carried out by Single Angle Mapper (SAM) were determined, furnishing a comprehensive mapping and descriptor of healthy human RBC. The spectra of single components allowed some of the RBC spectral bands to be attributed. CONCLUSIONS: This work reports for the first time the hyperspectral optical imaging of the human RBC by a library made of 8 scattering spectra, whose spectral signatures are compared with those of the main RBC molecular components. The percent distribution of the spectral end-members was also achieved, thus giving for the first time the HDFM mapping of human healthy RBCs. The protocol developed herein allows the clinical potential of hyperspectral imaging to be developed for the use of RBC mapping in health and disease.","PeriodicalId":44239,"journal":{"name":"Biomedical Spectroscopy and Imaging","volume":"5 1","pages":"175-184"},"PeriodicalIF":0.3000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/BSI-160133","citationCount":"21","resultStr":"{\"title\":\"Building up spectral libraries for mapping erythrocytes by hyperspectral dark field microscopy\",\"authors\":\"Marco Conti, R. Scanferlato, M. Louka, A. Sansone, Carla Marzetti, C. Ferreri\",\"doi\":\"10.3233/BSI-160133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND: Red blood cells (RBC) are obtained by non-invasive methods and widely used for diagnostic tests of health status. Hyperspectral Dark Field Microscopy (HDFM) is a promising technique for nanoscale bio imaging and spectral analysis without additional sample preparation. OBJECTIVE: Develop a protocol for human RBC characterization by HDFM, checking the feasibility of a reference spectral library that can image and afford a new comprehensive descriptor of RBC status. METHOD: A step-by-step protocol for HDFM measurement of human RBC was for the first time established using 5 µl of EDTA-treated whole blood from healthy adults (n = 30). Hyperspectral characteristics of solutions/suspensions at biological concentrations of phospholipids, hemoglobin, spectrin, cholesterol and protoporphyrin IX, as the most relevant RBC components, were also determined. RESULTS: A library made of 8 end-member spectra and classification of their spectral distribution carried out by Single Angle Mapper (SAM) were determined, furnishing a comprehensive mapping and descriptor of healthy human RBC. The spectra of single components allowed some of the RBC spectral bands to be attributed. CONCLUSIONS: This work reports for the first time the hyperspectral optical imaging of the human RBC by a library made of 8 scattering spectra, whose spectral signatures are compared with those of the main RBC molecular components. The percent distribution of the spectral end-members was also achieved, thus giving for the first time the HDFM mapping of human healthy RBCs. The protocol developed herein allows the clinical potential of hyperspectral imaging to be developed for the use of RBC mapping in health and disease.\",\"PeriodicalId\":44239,\"journal\":{\"name\":\"Biomedical Spectroscopy and Imaging\",\"volume\":\"5 1\",\"pages\":\"175-184\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2016-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.3233/BSI-160133\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomedical Spectroscopy and Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/BSI-160133\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"SPECTROSCOPY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Spectroscopy and Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/BSI-160133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SPECTROSCOPY","Score":null,"Total":0}
Building up spectral libraries for mapping erythrocytes by hyperspectral dark field microscopy
BACKGROUND: Red blood cells (RBC) are obtained by non-invasive methods and widely used for diagnostic tests of health status. Hyperspectral Dark Field Microscopy (HDFM) is a promising technique for nanoscale bio imaging and spectral analysis without additional sample preparation. OBJECTIVE: Develop a protocol for human RBC characterization by HDFM, checking the feasibility of a reference spectral library that can image and afford a new comprehensive descriptor of RBC status. METHOD: A step-by-step protocol for HDFM measurement of human RBC was for the first time established using 5 µl of EDTA-treated whole blood from healthy adults (n = 30). Hyperspectral characteristics of solutions/suspensions at biological concentrations of phospholipids, hemoglobin, spectrin, cholesterol and protoporphyrin IX, as the most relevant RBC components, were also determined. RESULTS: A library made of 8 end-member spectra and classification of their spectral distribution carried out by Single Angle Mapper (SAM) were determined, furnishing a comprehensive mapping and descriptor of healthy human RBC. The spectra of single components allowed some of the RBC spectral bands to be attributed. CONCLUSIONS: This work reports for the first time the hyperspectral optical imaging of the human RBC by a library made of 8 scattering spectra, whose spectral signatures are compared with those of the main RBC molecular components. The percent distribution of the spectral end-members was also achieved, thus giving for the first time the HDFM mapping of human healthy RBCs. The protocol developed herein allows the clinical potential of hyperspectral imaging to be developed for the use of RBC mapping in health and disease.
期刊介绍:
Biomedical Spectroscopy and Imaging (BSI) is a multidisciplinary journal devoted to the timely publication of basic and applied research that uses spectroscopic and imaging techniques in different areas of life science including biology, biochemistry, biotechnology, bionanotechnology, environmental science, food science, pharmaceutical science, physiology and medicine. Scientists are encouraged to submit their work for publication in the form of original articles, brief communications, rapid communications, reviews and mini-reviews. Techniques covered include, but are not limited, to the following: • Vibrational Spectroscopy (Infrared, Raman, Teraherz) • Circular Dichroism Spectroscopy • Magnetic Resonance Spectroscopy (NMR, ESR) • UV-vis Spectroscopy • Mössbauer Spectroscopy • X-ray Spectroscopy (Absorption, Emission, Photoelectron, Fluorescence) • Neutron Spectroscopy • Mass Spectroscopy • Fluorescence Spectroscopy • X-ray and Neutron Scattering • Differential Scanning Calorimetry • Atomic Force Microscopy • Surface Plasmon Resonance • Magnetic Resonance Imaging • X-ray Imaging • Electron Imaging • Neutron Imaging • Raman Imaging • Infrared Imaging • Terahertz Imaging • Fluorescence Imaging • Near-infrared spectroscopy.