1.CNR-ISASI, Istituto di Scienze Applicate e Sistemi Intelligenti 'E. Caianiello', CNR—Consiglio Nazionale delle Ricerche, Pozzuoli 80078, Italy
2.CNR-ICB, Istituto di Chimica Biomolecolare, Pozzuoli 80078, Italy
3.Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico Ⅱ & CEINGE—Advanced Biotechnologies, Napoli 80145, Italy
P Ferraro, Email: pietro.ferraro@cnr.it
纸质出版日期:2017-06,
网络出版日期:2016-10-17,
收稿日期:2016-05-04,
修回日期:2016-10-03,
录用日期:2016-10-10
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Tomographic flow cytometry by digital holography[J]. LSA, 2017,6(2).
Merola, F. et al. Tomographic flow cytometry by digital holography. Light: Science & Applications, 6, e16241 (2017).
Tomographic flow cytometry by digital holography[J]. LSA, 2017,6(2). DOI: 10.1038/lsa.2016.241.
Merola, F. et al. Tomographic flow cytometry by digital holography. Light: Science & Applications, 6, e16241 (2017). DOI: 10.1038/lsa.2016.241.
High-throughput single-cell analysis is a challenging task. Label-free tomographic phase microscopy is an excellent candidate to perform this task. However
in-line tomography is very difficult to implement in practice because it requires a complex set-up for rotating the sample and examining the cell along several directions. We demonstrate that by exploiting the random rolling of cells while they are flowing along a microfluidic channel
it is possible to obtain in-line phase-contrast tomography
if smart strategies for wavefront analysis are adopted. In fact
surprisingly
a priori
knowledge of the three-dimensional position and orientation of rotating cells is no longer needed because this information can be completely retrieved through digital holography wavefront numerical analysis. This approach makes continuous-flow cytotomography suitable for practical operation in real-world
single-cell analysis and with a substantial simplification of the optical system; that is
no mechanical scanning or multi-direction probing is required. A demonstration is given for two completely different classes of biosamples: red blood cells and diatom algae. An accurate characterization of both types of cells is reported
despite their very different nature and material content
thus showing that the proposed method can be extended by adopting two alternate strategies of wavefront analysis to many classes of cells.
microfluidicsred blood cellstomographic microscopywavefront analysis
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