Literature DB >> 24664015

High throughput holographic imaging-in-flow for the analysis of a wide plankton size range.

Catherine Yourassowsky, Frank Dubois.   

Abstract

We developed a Digital Holographic Microscope (DHM) working with a partial coherent source specifically adapted to perform high throughput recording of holograms of plankton organisms in-flow, in a size range of 3 µm-300 µm, which is of importance for this kind of applications. This wide size range is achieved with the same flow cell and with the same microscope magnification. The DHM configuration combines a high magnification with a large field of view and provides high-resolution intensity and quantitative phase images refocusing on high sample flow rate. Specific algorithms were developed to detect and extract automatically the particles and organisms present in the samples in order to build holograms of each one that are used for holographic refocusing and quantitative phase contrast imaging. Experimental results are shown and discussed.

Mesh:

Year:  2014        PMID: 24664015     DOI: 10.1364/OE.22.006661

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  6 in total

1.  Quantitative analysis of platelets aggregates in 3D by digital holographic microscopy.

Authors:  Karim Zouaoui Boudejltia; Daniel Ribeiro de Sousa; Pierrick Uzureau; Catherine Yourassowsky; David Perez-Morga; Guy Courbebaisse; Bastien Chopard; Frank Dubois
Journal:  Biomed Opt Express       Date:  2015-08-25       Impact factor: 3.732

2.  Label-free fingerprinting of tumor cells in bulk flow using inline digital holographic microscopy.

Authors:  Dhananjay Kumar Singh; Caroline C Ahrens; Wei Li; Siva A Vanapalli
Journal:  Biomed Opt Express       Date:  2017-01-04       Impact factor: 3.732

3.  Three-dimensional analysis of blood platelet spreading using digital holographic microscopy: a statistical study of the differential effect of coatings in healthy volunteers and dialyzed patients.

Authors:  Jérôme Dohet-Eraly; Karim Zouaoui Boudjeltia; Alexandre Rousseau; Patrick Queeckers; Christophe Lelubre; Jean-Marc Desmet; Bastien Chopard; Catherine Yourassowsky; Frank Dubois
Journal:  Biomed Opt Express       Date:  2021-12-24       Impact factor: 3.732

4.  A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches.

Authors:  Pingli Ma; Chen Li; Md Mamunur Rahaman; Yudong Yao; Jiawei Zhang; Shuojia Zou; Xin Zhao; Marcin Grzegorzek
Journal:  Artif Intell Rev       Date:  2022-06-07       Impact factor: 9.588

5.  Combining multi-marker metabarcoding and digital holography to describe eukaryotic plankton across the Newfoundland Shelf.

Authors:  Liam MacNeil; Dhwani K Desai; Maycira Costa; Julie LaRoche
Journal:  Sci Rep       Date:  2022-07-29       Impact factor: 4.996

6.  A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples.

Authors:  Zoltán Gӧrӧcs; Miu Tamamitsu; Vittorio Bianco; Patrick Wolf; Shounak Roy; Koyoshi Shindo; Kyrollos Yanny; Yichen Wu; Hatice Ceylan Koydemir; Yair Rivenson; Aydogan Ozcan
Journal:  Light Sci Appl       Date:  2018-09-19       Impact factor: 17.782

  6 in total

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