Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/2389
DC FieldValueLanguage
dc.contributor.authorAlt, Clemensen
dc.contributor.authorLee, Hoen
dc.contributor.authorPitsillides, Costas-
dc.contributor.otherΠιτσιλλίδης, Κώστας-
dc.date.accessioned2013-02-22T14:00:15Zen
dc.date.accessioned2013-05-17T05:29:45Z-
dc.date.accessioned2015-12-02T11:21:49Z-
dc.date.available2013-02-22T14:00:15Zen
dc.date.available2013-05-17T05:29:45Z-
dc.date.available2015-12-02T11:21:49Z-
dc.date.issued2007en
dc.identifier.citationImaging, manipulation, and analysis of biomolecules, cells, and tissues V, 2007, San Jose, CAen
dc.description.abstractPurpose: An in vivo flow cytometer was developed recently, providing quantification of fluorescently labeled cells in live animals without extracting blood samples. This non-invasive procedure allows continuously tracking a cell population of interest over long periods of time to examine its dynamic changes in the circulation. However, it has not been shown that counting signals arise from individual cells. Furthermore, cell morphology and cell-cell interaction in the blood stream (e.g. aggregation) are not visualized. Here we describe an imaging in vivo flow cytometer. Material and Methods: Fluorescence images are obtained simultaneously with quantitative information on a DiD-labeled cell population. As fluorescent cells pass through the slit of light focused across a blood vessel, the excited fluorescence is detected confocally. This cell counting signal triggers a strobe beam and an intensified CCD camera to capture a snapshot image of the cell as it moves down-stream from the slit. Results: Nearly all peaks counted as circulating T-cells originate from individual cells, while cell aggregates were rarely observed (<2%). Counting signal amplitude variation is attributed to uneven dye-loading among cells. We identify non-T-cells by their abnormal shape and size. Cell velocity was measured by determining the traveled distance from the slit within the delay of the strobe pulse or by applying multiple strobe pulses during the integration time of the CCD camera. Conclusions: An improved in vivo imaging flow cytometer can be a useful tool for studying cell populations in circulationen
dc.language.isoenen
dc.rights© (2007) COPYRIGHT SPIEen
dc.subjectFlow cytometryen
dc.subjectCell aggregationen
dc.subjectT cellsen
dc.subjectBlooden
dc.subjectBlood-vesselsen
dc.titleIn vivo imaging flow cytometeren
dc.typeConference Papersen
dc.affiliationBoston Universityen
dc.identifier.doi10.1117/12.702180en
dc.dept.handle123456789/54en
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeconferenceObject-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
crisitem.author.deptDepartment of Mechanical Engineering and Materials Science and Engineering-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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