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Hernández-Herrera P, Ugartechea-Chirino Y, Torres-Martínez HH, Arzola AV, Chairez-Veloz JE, García-Ponce B, Sánchez MDLP, Garay-Arroyo A, Álvarez-Buylla ER, Dubrovsky JG, Corkidi G. Live Plant Cell Tracking: Fiji plugin to analyze cell proliferation dynamics and understand morphogenesis. Plant Physiol 2022; 188:846-860. [PMID: 34791452 PMCID: PMC8825436 DOI: 10.1093/plphys/kiab530] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 10/19/2021] [Indexed: 05/13/2023]
Abstract
Arabidopsis (Arabidopsis thaliana) primary and lateral roots (LRs) are well suited for 3D and 4D microscopy, and their development provides an ideal system for studying morphogenesis and cell proliferation dynamics. With fast-advancing microscopy techniques used for live-imaging, whole tissue data are increasingly available, yet present the great challenge of analyzing complex interactions within cell populations. We developed a plugin "Live Plant Cell Tracking" (LiPlaCeT) coupled to the publicly available ImageJ image analysis program and generated a pipeline that allows, with the aid of LiPlaCeT, 4D cell tracking and lineage analysis of populations of dividing and growing cells. The LiPlaCeT plugin contains ad hoc ergonomic curating tools, making it very simple to use for manual cell tracking, especially when the signal-to-noise ratio of images is low or variable in time or 3D space and when automated methods may fail. Performing time-lapse experiments and using cell-tracking data extracted with the assistance of LiPlaCeT, we accomplished deep analyses of cell proliferation and clonal relations in the whole developing LR primordia and constructed genealogical trees. We also used cell-tracking data for endodermis cells of the root apical meristem (RAM) and performed automated analyses of cell population dynamics using ParaView software (also publicly available). Using the RAM as an example, we also showed how LiPlaCeT can be used to generate information at the whole-tissue level regarding cell length, cell position, cell growth rate, cell displacement rate, and proliferation activity. The pipeline will be useful in live-imaging studies of roots and other plant organs to understand complex interactions within proliferating and growing cell populations. The plugin includes a step-by-step user manual and a dataset example that are available at https://www.ibt.unam.mx/documentos/diversos/LiPlaCeT.zip.
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Affiliation(s)
- Paul Hernández-Herrera
- Laboratorio de Imágenes y Visión por Computadora, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cd. de México, C.P. 04510, Mexico
| | - Yamel Ugartechea-Chirino
- Departamento de Ecología Funcional, Instituto de Ecología, Laboratorio de Genética Molecular, Epigenética, Desarrollo y Evolución de Plantas, Universidad Nacional Autónoma de México, Cd. de México, C.P. 04510, Mexico
| | - Héctor H Torres-Martínez
- Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cd. de México, C.P. 04510, Mexico
| | - Alejandro V Arzola
- Instituto de Física, Universidad Nacional Autónoma de México, Cd. de México, C.P. 04510, Mexico
| | - José Eduardo Chairez-Veloz
- Departamento de Control Automático, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Cd. de México, C.P. 07350, Mexico
| | - Berenice García-Ponce
- Departamento de Ecología Funcional, Instituto de Ecología, Laboratorio de Genética Molecular, Epigenética, Desarrollo y Evolución de Plantas, Universidad Nacional Autónoma de México, Cd. de México, C.P. 04510, Mexico
| | - María de la Paz Sánchez
- Departamento de Ecología Funcional, Instituto de Ecología, Laboratorio de Genética Molecular, Epigenética, Desarrollo y Evolución de Plantas, Universidad Nacional Autónoma de México, Cd. de México, C.P. 04510, Mexico
| | - Adriana Garay-Arroyo
- Departamento de Ecología Funcional, Instituto de Ecología, Laboratorio de Genética Molecular, Epigenética, Desarrollo y Evolución de Plantas, Universidad Nacional Autónoma de México, Cd. de México, C.P. 04510, Mexico
| | - Elena R Álvarez-Buylla
- Departamento de Ecología Funcional, Instituto de Ecología, Laboratorio de Genética Molecular, Epigenética, Desarrollo y Evolución de Plantas, Universidad Nacional Autónoma de México, Cd. de México, C.P. 04510, Mexico
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Cd. de México, C.P. 04510, Mexico
| | - Joseph G Dubrovsky
- Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cd. de México, C.P. 04510, Mexico
| | - Gabriel Corkidi
- Laboratorio de Imágenes y Visión por Computadora, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cd. de México, C.P. 04510, Mexico
- Author for communication:
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2
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Wen C, Miura T, Voleti V, Yamaguchi K, Tsutsumi M, Yamamoto K, Otomo K, Fujie Y, Teramoto T, Ishihara T, Aoki K, Nemoto T, Hillman EMC, Kimura KD. 3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images. eLife 2021; 10:e59187. [PMID: 33781383 PMCID: PMC8009680 DOI: 10.7554/elife.59187] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 02/23/2021] [Indexed: 12/12/2022] Open
Abstract
Despite recent improvements in microscope technologies, segmenting and tracking cells in three-dimensional time-lapse images (3D + T images) to extract their dynamic positions and activities remains a considerable bottleneck in the field. We developed a deep learning-based software pipeline, 3DeeCellTracker, by integrating multiple existing and new techniques including deep learning for tracking. With only one volume of training data, one initial correction, and a few parameter changes, 3DeeCellTracker successfully segmented and tracked ~100 cells in both semi-immobilized and 'straightened' freely moving worm's brain, in a naturally beating zebrafish heart, and ~1000 cells in a 3D cultured tumor spheroid. While these datasets were imaged with highly divergent optical systems, our method tracked 90-100% of the cells in most cases, which is comparable or superior to previous results. These results suggest that 3DeeCellTracker could pave the way for revealing dynamic cell activities in image datasets that have been difficult to analyze.
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Affiliation(s)
- Chentao Wen
- Graduate School of Science, Nagoya City UniversityNagoyaJapan
| | - Takuya Miura
- Department of Biological Sciences, Graduate School of Science, Osaka UniversityToyonakaJapan
| | - Venkatakaushik Voleti
- Departments of Biomedical Engineering and Radiology and the Zuckerman Mind Brain Behavior Institute, Columbia UniversityNew YorkUnited States
| | - Kazushi Yamaguchi
- Graduate School of Information Science and Technology, Hokkaido UniversitySapporoJapan
- National Institute for Physiological SciencesOkazakiJapan
| | - Motosuke Tsutsumi
- National Institute for Physiological SciencesOkazakiJapan
- Exploratory Research Center on Life and Living SystemsOkazakiJapan
| | - Kei Yamamoto
- National Institute for Basic Biology, National Institutes of Natural SciencesOkazakiJapan
- The Graduate School for Advanced StudyHayamaJapan
| | - Kohei Otomo
- National Institute for Physiological SciencesOkazakiJapan
- Exploratory Research Center on Life and Living SystemsOkazakiJapan
- The Graduate School for Advanced StudyHayamaJapan
| | - Yukako Fujie
- Department of Biological Sciences, Graduate School of Science, Osaka UniversityToyonakaJapan
| | - Takayuki Teramoto
- Department of Biology, Faculty of Science, Kyushu UniversityFukuokaJapan
| | - Takeshi Ishihara
- Department of Biology, Faculty of Science, Kyushu UniversityFukuokaJapan
| | - Kazuhiro Aoki
- Exploratory Research Center on Life and Living SystemsOkazakiJapan
- National Institute for Basic Biology, National Institutes of Natural SciencesOkazakiJapan
- The Graduate School for Advanced StudyHayamaJapan
| | - Tomomi Nemoto
- National Institute for Physiological SciencesOkazakiJapan
- Exploratory Research Center on Life and Living SystemsOkazakiJapan
- The Graduate School for Advanced StudyHayamaJapan
| | - Elizabeth MC Hillman
- Departments of Biomedical Engineering and Radiology and the Zuckerman Mind Brain Behavior Institute, Columbia UniversityNew YorkUnited States
| | - Koutarou D Kimura
- Graduate School of Science, Nagoya City UniversityNagoyaJapan
- Department of Biological Sciences, Graduate School of Science, Osaka UniversityToyonakaJapan
- RIKEN center for Advanced Intelligence ProjectTokyoJapan
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Liebel M, Pazos-Perez N, van Hulst NF, Alvarez-Puebla RA. Surface-enhanced Raman scattering holography. Nat Nanotechnol 2020; 15:1005-1011. [PMID: 32989239 DOI: 10.1038/s41565-020-0771-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 08/26/2020] [Indexed: 05/26/2023]
Abstract
Nanometric probes based on surface-enhanced Raman scattering (SERS) are promising candidates for all-optical environmental, biological and technological sensing applications with intrinsic quantitative molecular specificity. However, the effectiveness of SERS probes depends on a delicate trade-off between particle size, stability and brightness that has so far hindered their wide application in SERS imaging methodologies. In this Article, we introduce holographic Raman microscopy, which allows single-shot three-dimensional single-particle localization. We validate our approach by simultaneously performing Fourier transform Raman spectroscopy of individual SERS nanoparticles and Raman holography, using shearing interferometry to extract both the phase and the amplitude of wide-field Raman images and ultimately localize and track single SERS nanoparticles inside living cells in three dimensions. Our results represent a step towards multiplexed single-shot three-dimensional concentration mapping in many different scenarios, including live cell and tissue interrogation and complex anti-counterfeiting applications.
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Affiliation(s)
- Matz Liebel
- ICFO - Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, Barcelona, Spain.
| | - Nicolas Pazos-Perez
- Department of Physical and Inorganic Chemistry and EMaS, Universitat Rovira i Virgili, Tarragona, Spain
| | - Niek F van Hulst
- ICFO - Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, Barcelona, Spain.
- ICREA - Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain.
| | - Ramon A Alvarez-Puebla
- Department of Physical and Inorganic Chemistry and EMaS, Universitat Rovira i Virgili, Tarragona, Spain.
- ICREA - Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain.
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4
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Abstract
With rapidly advancing microscopy techniques for live cell imaging, we are now able to image groups of migrating cells in many different in vivo contexts. However, as the resulting data sets become larger and more complex, following the behavior of these cells and extracting accurate quantitative data become increasingly challenging. Here we present a protocol for carrying out accurate automated tracking of cells moving over time in 3D, implemented as custom-built macro scripts for ImageJ. As opposed to many generic tracking workflows, the workflow we propose here accounts for the overall movement of the embryo, allows the selection of subgroups of cells, and includes a step for the complete assisted review of all 3D tracks. Furthermore, it is easy to add new custom track measurement to the code provided. Together, these present a reliable method for the precise tracking of cells, from which distinct subsets of cells can be selected from within a population.
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Affiliation(s)
- Sébastien Tosi
- Advanced Digital Microscopy Core Facility (ADMCF), Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.
| | - Kyra Campbell
- Department of Biomedical Science, Firth Court, University of Sheffield, Sheffield, UK
- Bateson Centre, Firth Court, University of Sheffield, Sheffield, UK
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5
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Abstract
Gold nanoparticles (AuNP) have been extensively developed as contrast agents, theranostic platforms, and probes for molecular imaging. This popularity has yielded a large number of AuNP designs that vary in size, shape, surface functionalization, and assembly, to match very closely the requirements for various imaging applications. Hence, AuNP based probes for molecular imaging allow the use of computed tomography (CT), fluorescence, and other forms of optical imaging, photoacoustic imaging (PAI), and magnetic resonance imaging (MRI), and other newer techniques. The unique physicochemical properties, biocompatibility, and highly developed chemistry of AuNP have facilitated breakthroughs in molecular imaging that allow the detection and imaging of physiological processes with high sensitivity and spatial resolution. In this Review, we summarize the recent advances in molecular imaging achieved using novel AuNP structures, cell tracking using AuNP, targeted AuNP for cancer imaging, and activatable AuNP probes. Finally, the perspectives and current limitations for the clinical translation of AuNP based probes are discussed.
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Affiliation(s)
- Mathilde Bouché
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Jessica C. Hsu
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Yuxi C. Dong
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Johoon Kim
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Kimberly Taing
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - David P. Cormode
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
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6
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Mullokandov G, Vijayakumar G, Leon P, Henry C, Wilson PC, Krammer F, Palese P, Brown BD. High-complexity extracellular barcoding using a viral hemagglutinin. Proc Natl Acad Sci U S A 2020; 117:2767-2769. [PMID: 31988118 PMCID: PMC7022207 DOI: 10.1073/pnas.1919182117] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
While single-cell sequencing technologies have revealed tissue heterogeneity, resolving mixed cellular libraries into cellular clones is essential for many pooled screens and clonal lineage tracing. Fluorescent proteins are limited in number, while DNA barcodes can only be read after cell lysis. To overcome these limitations, we used influenza virus hemagglutinins to engineer a genetically encoded cell-surface protein barcoding system. Using antibodies paired to hemagglutinins carrying combinations of escape mutations, we developed an exponential protein barcoding system which can label 128 clones using seven antibodies. This study provides a proof of principle for a strategy to create protein-level cell barcodes that can be used in vivo in mice to track clonal populations.
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Affiliation(s)
- Gavriel Mullokandov
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Gayathri Vijayakumar
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Paul Leon
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Carole Henry
- Department of Medicine, Section of Rheumatology, Gwen Knapp Center for Lupus and Immunology Research, The University of Chicago, Chicago, IL 60637
| | - Patrick C Wilson
- Department of Medicine, Section of Rheumatology, Gwen Knapp Center for Lupus and Immunology Research, The University of Chicago, Chicago, IL 60637
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Peter Palese
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029;
| | - Brian D Brown
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029;
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7
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Chetty SS, Praneetha S, Vadivel Murugan A, Govarthanan K, Verma RS. Human Umbilical Cord Wharton's Jelly-Derived Mesenchymal Stem Cells Labeled with Mn 2+ and Gd 3+ Co-Doped CuInS 2-ZnS Nanocrystals for Multimodality Imaging in a Tumor Mice Model. ACS Appl Mater Interfaces 2020; 12:3415-3429. [PMID: 31875453 DOI: 10.1021/acsami.9b19054] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Mesenchymal stem cell (MSCs) therapy has recently received profound interest as a targeting platform in cancer theranostics because of inherent tumor-homing abilities. However, the terminal tracking of MSCs engraftment by fluorescent in situ hybridization, immuno-histochemistry, and flow-cytometry techniques to translate into clinics is still challenging because of a dearth of inherent MSCs-specific markers and FDA approval for genetic modifications of MSCs. To address this challenge, a cost-effective noninvasive imaging technology based on multifunctional nanocrystals (NCs) with enhanced detection sensitivity, spatial-temporal resolution, and deep-tissue diagnosis is needed to be developed to track the transplanted stem cells. A hassle-free labeling of human umbilical cord Wharton's Jelly (WJ)-derived MSCs with Mn2+ and Gd3+ co-doped CuInS2-ZnS (CIS-ZMGS) NCs has been demonstrated in 2 h without requiring an electroporation process or transfection agents. It has been found that WJ-MSCs labeling did not affect their multilineage differentiation (adipocyte, osteocyte, chondrocyte), immuno-phenotypes (CD44+, CD105+, CD90+), protein (β-actin, vimentin, CD73, α-SMCA), and gene expressions. Interestingly, CIS-ZMGS-NCs-labeled WJ-MSCs exhibit near-infrared (NIR) fluorescence with a quantum yield of 84%, radiant intensity of ∼3.999 × 1011 (p/s/cm2/sr)/(μW/cm2), magnetic relaxivity (longitudinal r1 = 2.26 mM-1 s-1, transverse r2 = 16.47 mM-1 s-1), and X-ray attenuation (78 HU) potential for early noninvasive multimodality imaging of a subcutaneous melanoma in B16F10-tumor-bearing C57BL/6 mice in 6 h. The ex vivo imaging and inductively coupled plasma mass-spectroscopy analyses of excised organs along with confocal microscopy and immunofluorescence of tumor results also significantly confirmed the positive tropism of CIS-ZMGS-NCs-labeled WJ-MSCs in the tumor environment. Hence, we propose the magnetofluorescent CIS-ZMGS-NCs-labeled WJ-MSCs as a next-generation nanobioprobe of three commonly used imaging modalities for stem cell-assisted anticancer therapy and tracking tissue/organ regenerations.
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Affiliation(s)
- Shashank Shankar Chetty
- Advanced Functional Nanostructured Materials Laboratory, Centre for Nanoscience and Technology, Madanjeet School of Green Energy Technologies , Pondicherry University (A Central University) , Puducherry 605014 , India
| | - Selvarasu Praneetha
- Advanced Functional Nanostructured Materials Laboratory, Centre for Nanoscience and Technology, Madanjeet School of Green Energy Technologies , Pondicherry University (A Central University) , Puducherry 605014 , India
| | - Arumugam Vadivel Murugan
- Advanced Functional Nanostructured Materials Laboratory, Centre for Nanoscience and Technology, Madanjeet School of Green Energy Technologies , Pondicherry University (A Central University) , Puducherry 605014 , India
| | - Kavitha Govarthanan
- Stem Cell and Molecular Biology Laboratory, Bhupat and Jyoti Mehta School of Biosciences, Department of Biotechnology , Indian Institute of Technology-Madras (IIT-M) , Chennai 600036 , India
| | - Rama Shanker Verma
- Stem Cell and Molecular Biology Laboratory, Bhupat and Jyoti Mehta School of Biosciences, Department of Biotechnology , Indian Institute of Technology-Madras (IIT-M) , Chennai 600036 , India
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8
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Linsley JW, Tripathi A, Epstein I, Schmunk G, Mount E, Campioni M, Oza V, Barch M, Javaherian A, Nowakowski TJ, Samsi S, Finkbeiner S. Automated four-dimensional long term imaging enables single cell tracking within organotypic brain slices to study neurodevelopment and degeneration. Commun Biol 2019; 2:155. [PMID: 31069265 PMCID: PMC6494885 DOI: 10.1038/s42003-019-0411-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 03/18/2019] [Indexed: 02/08/2023] Open
Abstract
Current approaches for dynamic profiling of single cells rely on dissociated cultures, which lack important biological features existing in tissues. Organotypic slice cultures preserve aspects of structural and synaptic organisation within the brain and are amenable to microscopy, but established techniques are not well adapted for high throughput or longitudinal single cell analysis. Here we developed a custom-built, automated confocal imaging platform, with improved organotypic slice culture and maintenance. The approach enables fully automated image acquisition and four-dimensional tracking of morphological changes within individual cells in organotypic cultures from rodent and human primary tissues for at least 3 weeks. To validate this system, we analysed neurons expressing a disease-associated version of huntingtin (HTT586Q138-EGFP), and observed that they displayed hallmarks of Huntington's disease and died sooner than controls. By facilitating longitudinal single-cell analyses of neuronal physiology, our system bridges scales necessary to attain statistical power to detect developmental and disease phenotypes.
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Affiliation(s)
- Jeremy W Linsley
- Gladstone Center for Systems and Therapeutics, San Francisco, CA 94158 USA
| | - Atmiyata Tripathi
- Gladstone Center for Systems and Therapeutics, San Francisco, CA 94158 USA
| | - Irina Epstein
- Gladstone Center for Systems and Therapeutics, San Francisco, CA 94158 USA
| | - Galina Schmunk
- 2Department of Anatomy, University of California, San Francisco, CA 94158 USA
| | - Elliot Mount
- Gladstone Center for Systems and Therapeutics, San Francisco, CA 94158 USA
| | - Matthew Campioni
- Gladstone Center for Systems and Therapeutics, San Francisco, CA 94158 USA
| | - Viral Oza
- Gladstone Center for Systems and Therapeutics, San Francisco, CA 94158 USA
| | - Mariya Barch
- Gladstone Center for Systems and Therapeutics, San Francisco, CA 94158 USA
| | - Ashkan Javaherian
- Gladstone Center for Systems and Therapeutics, San Francisco, CA 94158 USA
| | - Tomasz J Nowakowski
- 2Department of Anatomy, University of California, San Francisco, CA 94158 USA
| | - Siddharth Samsi
- 3Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Luxembourg, L-4367 Luxembourg
- 9Present Address: MIT Lincoln Laboratory, Lexington, MA 02421 USA
| | - Steven Finkbeiner
- Gladstone Center for Systems and Therapeutics, San Francisco, CA 94158 USA
- 4Neuroscience Graduate Program, University of California, San Francisco, CA 94158 USA
- 5Biomedical Sciences and Neuroscience Graduate Program, University of California, San Francisco, CA 94143 USA
- 6Taube/Koret Center for Neurodegenerative Disease, Gladstone Institutes, San Francisco, CA 94158 USA
- 7Department of Neurology, University of California, San Francisco, CA 94158 USA
- 8Department of Physiology, University of California, San Francisco, CA 94158 USA
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9
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Zhou XY, Tay ZW, Chandrasekharan P, Yu EY, Hensley DW, Orendorff R, Jeffris KE, Mai D, Zheng B, Goodwill PW, Conolly SM. Magnetic particle imaging for radiation-free, sensitive and high-contrast vascular imaging and cell tracking. Curr Opin Chem Biol 2018; 45:131-138. [PMID: 29754007 PMCID: PMC6500458 DOI: 10.1016/j.cbpa.2018.04.014] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 04/16/2018] [Accepted: 04/20/2018] [Indexed: 01/04/2023]
Abstract
Magnetic particle imaging (MPI) is an emerging ionizing radiation-free biomedical tracer imaging technique that directly images the intense magnetization of superparamagnetic iron oxide nanoparticles (SPIOs). MPI offers ideal image contrast because MPI shows zero signal from background tissues. Moreover, there is zero attenuation of the signal with depth in tissue, allowing for imaging deep inside the body quantitatively at any location. Recent work has demonstrated the potential of MPI for robust, sensitive vascular imaging and cell tracking with high contrast and dose-limited sensitivity comparable to nuclear medicine. To foster future applications in MPI, this new biomedical imaging field is welcoming researchers with expertise in imaging physics, magnetic nanoparticle synthesis and functionalization, nanoscale physics, and small animal imaging applications.
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Affiliation(s)
- Xinyi Y Zhou
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, United States; UC Berkeley - UCSF Graduate Program in Bioengineering, United States.
| | - Zhi Wei Tay
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, United States; UC Berkeley - UCSF Graduate Program in Bioengineering, United States
| | - Prashant Chandrasekharan
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, United States
| | - Elaine Y Yu
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, United States; UC Berkeley - UCSF Graduate Program in Bioengineering, United States
| | - Daniel W Hensley
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, United States; UC Berkeley - UCSF Graduate Program in Bioengineering, United States
| | - Ryan Orendorff
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, United States; UC Berkeley - UCSF Graduate Program in Bioengineering, United States
| | - Kenneth E Jeffris
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, United States
| | - David Mai
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, United States
| | - Bo Zheng
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, United States
| | | | - Steven M Conolly
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, United States; Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA 94720, United States
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10
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Abstract
An abundance of label-free microfluidic techniques for measuring cell intrinsic markers exists, yet these techniques are seldom combined because of integration complexity such as restricted physical space and incompatible modes of operation. We introduce a multiparameter intrinsic cytometry approach for the characterization of single cells that combines ≥2 label-free measurement techniques onto the same platform and uses cell tracking to associate the measured properties to cells. Our proof-of-concept implementation can measure up to five intrinsic properties including size, deformability, and polarizability at three frequencies. Each measurement module along with the integrated platform were validated and evaluated in the context of chemically induced changes in the actin cytoskeleton of cells. viSNE and machine learning classification were used to determine the orthogonality between and the contribution of the measured intrinsic markers for cell classification.
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Affiliation(s)
- N Apichitsopa
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 36-824, Cambridge, MA 02139, USA.
| | - A Jaffe
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 36-824, Cambridge, MA 02139, USA.
| | - J Voldman
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 36-824, Cambridge, MA 02139, USA.
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11
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Berger S, Lattmann E, Aegerter-Wilmsen T, Hengartner M, Hajnal A, deMello A, Casadevall i Solvas X. Long-term C. elegans immobilization enables high resolution developmental studies in vivo. Lab Chip 2018; 18:1359-1368. [PMID: 29652050 DOI: 10.1039/c7lc01185g] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Live-imaging of C. elegans is essential for the study of conserved cellular pathways (e.g. EGFR/Wnt signaling) and morphogenesis in vivo. However, the usefulness of live imaging as a research tool has been severely limited by the need to immobilize worms prior to and during imaging. Conventionally, immobilization is achieved by employing both physical and chemical interventions. These are known to significantly affect many physiological processes, and thus limit our understanding of dynamic developmental processes. Herein we present a novel, easy-to-use microfluidic platform for the long-term immobilization of viable, normally developing C. elegans, compatible with image acquisition at high resolution, thereby overcoming the limitations associated with conventional worm immobilization. The capabilities of the platform are demonstrated through the continuous assessment of anchor cell (AC) invasion and distal tip cell (DTC) migration in larval C. elegans and germ cell apoptosis in adult C. elegans in vivo for the first time.
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Affiliation(s)
- Simon Berger
- Institute of Chemical and Bioengineering, ETH Zurich, 8093 Zurich, Switzerland.
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12
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Kaiser M, Jug F, Julou T, Deshpande S, Pfohl T, Silander OK, Myers G, van Nimwegen E. Monitoring single-cell gene regulation under dynamically controllable conditions with integrated microfluidics and software. Nat Commun 2018; 9:212. [PMID: 29335514 PMCID: PMC5768764 DOI: 10.1038/s41467-017-02505-0] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 12/06/2017] [Indexed: 12/16/2022] Open
Abstract
Much is still not understood about how gene regulatory interactions control cell fate decisions in single cells, in part due to the difficulty of directly observing gene regulatory processes in vivo. We introduce here a novel integrated setup consisting of a microfluidic chip and accompanying analysis software that enable long-term quantitative tracking of growth and gene expression in single cells. The dual-input Mother Machine (DIMM) chip enables controlled and continuous variation of external conditions, allowing direct observation of gene regulatory responses to changing conditions in single cells. The Mother Machine Analyzer (MoMA) software achieves unprecedented accuracy in segmenting and tracking cells, and streamlines high-throughput curation with a novel leveraged editing procedure. We demonstrate the power of the method by uncovering several novel features of an iconic gene regulatory program: the induction of Escherichia coli's lac operon in response to a switch from glucose to lactose.
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Affiliation(s)
- Matthias Kaiser
- Biozentrum, University of Basel and Swiss Institute of Bioinformatics, Klingelbergstrasse 50/70, 4056, Basel, Switzerland
| | - Florian Jug
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108, 01307, Dresden, Germany
| | - Thomas Julou
- Biozentrum, University of Basel and Swiss Institute of Bioinformatics, Klingelbergstrasse 50/70, 4056, Basel, Switzerland
| | - Siddharth Deshpande
- Department of Chemistry, University of Basel, Spitalstrasse 51, 4056, Basel, Switzerland
- Department of Bionanoscience, TU Delft, Van der Maasweg 9, 2629 HZ, Delft, The Netherlands
| | - Thomas Pfohl
- Department of Chemistry, University of Basel, Spitalstrasse 51, 4056, Basel, Switzerland
| | - Olin K Silander
- Biozentrum, University of Basel and Swiss Institute of Bioinformatics, Klingelbergstrasse 50/70, 4056, Basel, Switzerland.
- Institute of Natural and Mathematical Sciences, Massey University Auckland, Private Bag 102904, North Shore, 0745, New Zealand.
| | - Gene Myers
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108, 01307, Dresden, Germany.
| | - Erik van Nimwegen
- Biozentrum, University of Basel and Swiss Institute of Bioinformatics, Klingelbergstrasse 50/70, 4056, Basel, Switzerland.
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13
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Affiliation(s)
- Brian Owens
- Brian Owens is a freelance science writer based in New Brunswick, Canada
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14
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Versari C, Stoma S, Batmanov K, Llamosi A, Mroz F, Kaczmarek A, Deyell M, Lhoussaine C, Hersen P, Batt G. Long-term tracking of budding yeast cells in brightfield microscopy: CellStar and the Evaluation Platform. J R Soc Interface 2017; 14:20160705. [PMID: 28179544 PMCID: PMC5332563 DOI: 10.1098/rsif.2016.0705] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 12/15/2016] [Indexed: 11/23/2022] Open
Abstract
With the continuous expansion of single cell biology, the observation of the behaviour of individual cells over extended durations and with high accuracy has become a problem of central importance. Surprisingly, even for yeast cells that have relatively regular shapes, no solution has been proposed that reaches the high quality required for long-term experiments for segmentation and tracking (S&T) based on brightfield images. Here, we present CellStar, a tool chain designed to achieve good performance in long-term experiments. The key features are the use of a new variant of parametrized active rays for segmentation, a neighbourhood-preserving criterion for tracking, and the use of an iterative approach that incrementally improves S&T quality. A graphical user interface enables manual corrections of S&T errors and their use for the automated correction of other, related errors and for parameter learning. We created a benchmark dataset with manually analysed images and compared CellStar with six other tools, showing its high performance, notably in long-term tracking. As a community effort, we set up a website, the Yeast Image Toolkit, with the benchmark and the Evaluation Platform to gather this and additional information provided by others.
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Affiliation(s)
| | - Szymon Stoma
- Scientific Center for Optical and Electron Microscopy (ScopeM), ETH Zurich, Zurich, Switzerland
| | | | - Artémis Llamosi
- Laboratoire Matières et Systèmes Complexes, UMR7057, CNRS and Université Paris Diderot, Paris, France
- Inria and Université Paris-Saclay, Palaiseau, France
| | - Filip Mroz
- Institute of Computer Science, University of Wroclaw, Wroclaw, Poland
| | - Adam Kaczmarek
- Institute of Computer Science, University of Wroclaw, Wroclaw, Poland
| | - Matt Deyell
- Laboratoire Matières et Systèmes Complexes, UMR7057, CNRS and Université Paris Diderot, Paris, France
| | | | - Pascal Hersen
- Laboratoire Matières et Systèmes Complexes, UMR7057, CNRS and Université Paris Diderot, Paris, France
| | - Gregory Batt
- Inria and Université Paris-Saclay, Palaiseau, France
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15
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Abstract
Mammalian cells grow within a complex three-dimensional (3D) microenvironment where multiple cells are organized and surrounded by extracellular matrix (ECM). The quantity and types of ECM components, alongside cell-to-cell and cell-to-matrix interactions dictate cellular differentiation, proliferation and function in vivo. To mimic natural cellular activities, various 3D tissue culture models have been established to replace conventional two dimensional (2D) culture environments. Allowing for both characterization and visualization of cellular activities within possibly bulky 3D tissue models presents considerable challenges due to the increased thickness and subsequent light scattering features of such 3D models. In this chapter, state-of-the-art methodologies used to establish 3D tissue models are discussed, first with a focus on both scaffold-free and scaffold-based 3D tissue model formation. Following on, multiple 3D live cell imaging systems, mainly optical imaging modalities, are introduced. Their advantages and disadvantages are discussed, with the aim of stimulating more research in this highly demanding research area.
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Affiliation(s)
- Katie Bardsley
- Institute for Science and Technology in Medicine, Keele University, Stoke-on-Trent, ST4 7QB, UK
| | - Anthony J Deegan
- Institute for Science and Technology in Medicine, Keele University, Stoke-on-Trent, ST4 7QB, UK
| | - Alicia El Haj
- Institute for Science and Technology in Medicine, Keele University, Stoke-on-Trent, ST4 7QB, UK
| | - Ying Yang
- Institute for Science and Technology in Medicine, Keele University, Stoke-on-Trent, ST4 7QB, UK.
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16
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Delincé MJ, Bureau JB, López-Jiménez AT, Cosson P, Soldati T, McKinney JD. A microfluidic cell-trapping device for single-cell tracking of host-microbe interactions. Lab Chip 2016; 16:3276-85. [PMID: 27425421 DOI: 10.1039/c6lc00649c] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
The impact of cellular individuality on host-microbe interactions is increasingly appreciated but studying the temporal dynamics of single-cell behavior in this context remains technically challenging. Here we present a microfluidic platform, InfectChip, to trap motile infected cells for high-resolution time-lapse microscopy. This approach allows the direct visualization of all stages of infection, from bacterial uptake to death of the bacterium or host cell, over extended periods of time. We demonstrate the utility of this approach by co-culturing an established host-cell model, Dictyostelium discoideum, with the extracellular pathogen Klebsiella pneumoniae or the intracellular pathogen Mycobacterium marinum. We show that the outcome of such infections is surprisingly heterogeneous, ranging from abortive infection to death of the bacterium or host cell. InfectChip thus provides a simple method to dissect the time-course of host-microbe interactions at the single-cell level, yielding new insights that could not be gleaned from conventional population-based measurements.
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Affiliation(s)
- Matthieu J Delincé
- School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
| | - Jean-Baptiste Bureau
- School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
| | | | - Pierre Cosson
- Department for Cell Physiology and Metabolism, Centre Medical Universitaire, University of Geneva, Switzerland
| | - Thierry Soldati
- Department of Biochemistry, University of Geneva, Geneva, Switzerland.
| | - John D McKinney
- School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
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17
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Tang Q, Liang M, Lu Y, Wong PK, Wilmink GJ, Zhang D, Xin H. Microfluidic Devices for Terahertz Spectroscopy of Live Cells Toward Lab-on-a-Chip Applications. Sensors (Basel) 2016; 16:s16040476. [PMID: 27049392 PMCID: PMC4850990 DOI: 10.3390/s16040476] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Revised: 03/28/2016] [Accepted: 03/30/2016] [Indexed: 11/23/2022]
Abstract
THz spectroscopy is an emerging technique for studying the dynamics and interactions of cells and biomolecules, but many practical challenges still remain in experimental studies. We present a prototype of simple and inexpensive cell-trapping microfluidic chip for THz spectroscopic study of live cells. Cells are transported, trapped and concentrated into the THz exposure region by applying an AC bias signal while the chip maintains a steady temperature at 37 °C by resistive heating. We conduct some preliminary experiments on E. coli and T-cell solution and compare the transmission spectra of empty channels, channels filled with aqueous media only, and channels filled with aqueous media with un-concentrated and concentrated cells.
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Affiliation(s)
- Qi Tang
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA.
| | - Min Liang
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA.
| | - Yi Lu
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA.
| | - Pak Kin Wong
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA.
| | | | - Donna Zhang
- College of Pharmacy, University of Arizona, Tucson, AZ 85721, USA.
| | - Hao Xin
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA.
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18
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Gosnell ME, Anwer AG, Mahbub SB, Menon Perinchery S, Inglis DW, Adhikary PP, Jazayeri JA, Cahill MA, Saad S, Pollock CA, Sutton-McDowall ML, Thompson JG, Goldys EM. Quantitative non-invasive cell characterisation and discrimination based on multispectral autofluorescence features. Sci Rep 2016; 6:23453. [PMID: 27029742 PMCID: PMC4814840 DOI: 10.1038/srep23453] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Accepted: 03/07/2016] [Indexed: 02/08/2023] Open
Abstract
Automated and unbiased methods of non-invasive cell monitoring able to deal with complex biological heterogeneity are fundamentally important for biology and medicine. Label-free cell imaging provides information about endogenous autofluorescent metabolites, enzymes and cofactors in cells. However extracting high content information from autofluorescence imaging has been hitherto impossible. Here, we quantitatively characterise cell populations in different tissue types, live or fixed, by using novel image processing and a simple multispectral upgrade of a wide-field fluorescence microscope. Our optimal discrimination approach enables statistical hypothesis testing and intuitive visualisations where previously undetectable differences become clearly apparent. Label-free classifications are validated by the analysis of Classification Determinant (CD) antigen expression. The versatility of our method is illustrated by detecting genetic mutations in cancer, non-invasive monitoring of CD90 expression, label-free tracking of stem cell differentiation, identifying stem cell subpopulations with varying functional characteristics, tissue diagnostics in diabetes, and assessing the condition of preimplantation embryos.
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Affiliation(s)
- Martin E. Gosnell
- Quantitative Pty Ltd ABN 17165684186, Beaumont Hills NSW 2155, Australia.
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde 2109, NSW Australia
| | - Ayad G. Anwer
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde 2109, NSW Australia
| | - Saabah B. Mahbub
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde 2109, NSW Australia
| | - Sandeep Menon Perinchery
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde 2109, NSW Australia
| | - David W. Inglis
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde 2109, NSW Australia
| | - Partho P. Adhikary
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2678, Australia
| | - Jalal A. Jazayeri
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2678, Australia
| | - Michael A. Cahill
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2678, Australia
| | - Sonia Saad
- Kolling Institute of Medical Research, Royal North Shore Hospital/Northern Clinical School, University of Sydney, Pacific Hwy, St Leonards NSW 2065, Australia
| | - Carol A. Pollock
- Kolling Institute of Medical Research, Royal North Shore Hospital/Northern Clinical School, University of Sydney, Pacific Hwy, St Leonards NSW 2065, Australia
| | - Melanie L. Sutton-McDowall
- Robinson Research Institute, School of Paediatrics and Reproductive Health, The University of Adelaide, Medical School, Frome Road, Adelaide, South Australia, 5005, Australia
- Australian Research Council Centre of Excellence for Nanoscale Biophotonics and Institute for Photonics and Advanced Sensing, The University of Adelaide, North Terrace, Adelaide, South Australia, 5005, Australia
| | - Jeremy G. Thompson
- Robinson Research Institute, School of Paediatrics and Reproductive Health, The University of Adelaide, Medical School, Frome Road, Adelaide, South Australia, 5005, Australia
- Australian Research Council Centre of Excellence for Nanoscale Biophotonics and Institute for Photonics and Advanced Sensing, The University of Adelaide, North Terrace, Adelaide, South Australia, 5005, Australia
| | - Ewa M. Goldys
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde 2109, NSW Australia
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19
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Kim MG, Yoon S, Kim HH, Shung KK. Impedance matching network for high frequency ultrasonic transducer for cellular applications. Ultrasonics 2016; 65:258-67. [PMID: 26442434 PMCID: PMC4656103 DOI: 10.1016/j.ultras.2015.09.016] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2015] [Revised: 09/21/2015] [Accepted: 09/22/2015] [Indexed: 05/03/2023]
Abstract
An approach for the design of an impedance matching network (IMN) for high frequency ultrasonic transducers with large apertures based on impedance analysis for cellular applications is presented in this paper. The main objectives were to maximize energy transmission from the excitation source to the ultrasonic transducers for cell manipulation and to achieve low input parameters for the safe operation of an ultrasonic transducer because the piezoelectric material in high frequency ultrasonic transducers is prone to breakage due to its being extremely thin. Two ultrasonic transducers, which were made of lithium niobate single crystal with the thickness of 15 μm, having apertures of 4.3 mm (fnumber=1.23) and 2.6mm (fnumber=0.75) were tested. L-type IMN was selected for high sensitivity and compact design of the ultrasonic transducers. The target center frequency was chosen as the frequency where the electrical admittance (|Y|) and phase angle (θz) from impedance analysis was maximal and zero, respectively. The reference center frequency and reference echo magnitude were selected as the center frequency and echo magnitude, measured by pulse-echo testing, of the ultrasonic transducer without IMN. Initial component values and topology of IMN were determined using the Smith chart, and pulse-echo testing was analyzed to verify the performance of the ultrasonic transducers with and without IMN. After several iterations between changing component values and topology of IMN, and pulse-echo measurement of the ultrasonic transducer with IMN, optimized component values and topology of IMN were chosen when the measured center frequency from pulse-echo testing was comparable to the target frequency, and the measured echo magnitude was at least 30% larger than the reference echo magnitude. Performance of an ultrasonic transducer with and without IMN was tested by observing a tangible dent on the surface of a plastic petridish and single cell response after an acoustic pulse was applied on a target cell.
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Affiliation(s)
- Min Gon Kim
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Sangpil Yoon
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
| | - Hyung Ham Kim
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - K Kirk Shung
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
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20
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Huang W, Ahmad B, Kawahara T. On-line tracking of living cell subjected to cyclic stretch. Annu Int Conf IEEE Eng Med Biol Soc 2016; 2015:3553-6. [PMID: 26737060 DOI: 10.1109/embc.2015.7319160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
We propose a novel system for the observation of living cell exposed to cyclic stretch under dynamic conditions. The developed system is mainly composed of a laptop PC, a stretching unit with three motorized stages, and a microscope with a CCD camera. The design of the cell tracking system is based on the deformation characteristics of the elastic chamber and its performance was confirmed through the basic experiments. Finally, we succeeded in on-line imaging of living single cells under the microscope with a high magnification ratio. We believe that the developed system is a promising platform for studying the immediate responses of cells exposed to cyclic stretch.
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21
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Abstract
Recently we have explored and developed approaches imaging using confocal/two-photon microscopy, which enables simultaneous high-resolution assessment of specifically fluorescently marked cells in conjunction with structural components of the tissues visualized via harmonic generated signals. This approach uses commercially available confocal and two-photon laser microscope and automated user-interactive image analysis methods based on commercially available software packages allowing easy implementation in usual microscopy facilities.
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Affiliation(s)
- Daniela Malide
- Light Microscopy Core Facility, National Heart, Lung, and Blood Institute, National Institute of Health, Building 10, Room 6 N-309, 10 Center Drive, Bethesda, MD, 20892, USA.
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22
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DeVore MS, Stich DG, Keller AM, Cleyrat C, Phipps ME, Hollingsworth JA, Lidke DS, Wilson BS, Goodwin PM, Werner JH. Note: Time-gated 3D single quantum dot tracking with simultaneous spinning disk imaging. Rev Sci Instrum 2015; 86:126102. [PMID: 26724083 PMCID: PMC4676784 DOI: 10.1063/1.4937477] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
We describe recent upgrades to a 3D tracking microscope to include simultaneous Nipkow spinning disk imaging and time-gated single-particle tracking (SPT). Simultaneous 3D molecular tracking and spinning disk imaging enable the visualization of cellular structures and proteins around a given fluorescently labeled target molecule. The addition of photon time-gating to the SPT hardware improves signal to noise by discriminating against Raman scattering and short-lived fluorescence. In contrast to camera-based SPT, single-photon arrival times are recorded, enabling time-resolved spectroscopy (e.g., measurement of fluorescence lifetimes and photon correlations) to be performed during single molecule/particle tracking experiments.
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Affiliation(s)
- M S DeVore
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
| | - D G Stich
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
| | - A M Keller
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
| | - C Cleyrat
- Department of Pathology and Cancer Research and Treatment Center, University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - M E Phipps
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
| | - J A Hollingsworth
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
| | - D S Lidke
- Department of Pathology and Cancer Research and Treatment Center, University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - B S Wilson
- Department of Pathology and Cancer Research and Treatment Center, University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - P M Goodwin
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
| | - J H Werner
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
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23
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Spesyvtsev R, Rendall HA, Dholakia K. Wide-field three-dimensional optical imaging using temporal focusing for holographically trapped microparticles. Opt Lett 2015; 40:4847-50. [PMID: 26512465 DOI: 10.1364/ol.40.004847] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
A contemporary challenge across the natural sciences is the simultaneous optical imaging or stimulation of small numbers of cells or colloidal particles organized into arbitrary geometries. We demonstrate the use of temporal focusing with holographic optical tweezers in order to achieve depth-resolved two-photon imaging of trapped objects arranged in arbitrary three-dimensional (3D) geometries using a single objective. Trapping allows for the independent position control of multiple objects by holographic beam shaping. Temporal focusing of ultrashort pulses provides the wide-field two-photon depth-selective activation of fluorescent samples. We demonstrate the wide-field depth-resolved illumination of both trapped fluorescent beads and trapped HL60 cells in suspension with full 3D positioning control. These approaches are compatible with implementation through scattering media and can be beneficial for emergent studies in colloidal science and particularly optogenetics, offering targeted photoactivation over a wide area with micrometer-precision depth control.
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24
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Girshovitz P, Frenklach I, Shaked NT. Broadband quantitative phase microscopy with extended field of view using off-axis interferometric multiplexing. J Biomed Opt 2015; 20:111217. [PMID: 26440914 DOI: 10.1117/1.jbo.20.11.111217] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Accepted: 08/20/2015] [Indexed: 06/05/2023]
Abstract
We propose a new portable imaging configuration that can double the field of view (FOV) of existing off-axis interferometric imaging setups, including broadband off-axis interferometers. This configuration is attached at the output port of the off-axis interferometer and optically creates a multiplexed interferogram on the digital camera, which is composed of two off-axis interferograms with straight fringes at orthogonal directions. Each of these interferograms contains a different FOV of the imaged sample. Due to the separation of these two FOVs in the spatial-frequency domain, they can be fully reconstructed separately, while obtaining two complex wavefronts from the sample at once. Since the optically multiplexed off-axis interferogram is recorded by the camera in a single exposure, fast dynamics can be recorded with a doubled imaging area. We used this technique for quantitative phase microscopy of biological samples with extended FOV. We demonstrate attaching the proposed module to a diffractive phase microscopy interferometer, illuminated by a broadband light source. The biological samples used for the experimental demonstrations include microscopic diatom shells, cancer cells, and flowing blood cells.
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25
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Abstract
In the past years, in situ microscopy has been demonstrated as a technique for monitoring the concentration and morphology of moving microparticles in agitated suspensions. However, up until now, this technique can only achieve a high resolution if a certain manual or automated effort is established for continuous precise focusing. Therefore, the application of in situ microscopes (ISMs) as sensors is inhibited in the cases where unattended operation is required. Here, we demonstrate a high-resolution ISM which, unlike others, is built as an entirely rigid construction, requiring no adjustments at all. This ISM is based on a specially designed water immersion objective with numerical aperture = 0.75 and a working distance of 15 μm. The objective can be built exclusively from off-the-shelf parts and the front surface directly interfaces with the moving suspension. We show various applications of the system and demonstrate the imaging performance with submicron resolution within moving suspensions of microorganisms.
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Affiliation(s)
- Hajo Suhr
- Hochschule Mannheim-University of Applied Sciences, Department of Information Technology, Paul-Wittsack-Straße 10, D-68163 Mannheim, Germany
| | - Alois M Herkommer
- University Stuttgart, Institute for Technical Optics, Pfaffenwaldring 9, D-70569 Stuttgart, Germany
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26
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Jaferzadeh K, Moon I. Quantitative investigation of red blood cell three-dimensional geometric and chemical changes in the storage lesion using digital holographic microscopy. J Biomed Opt 2015; 20:111218. [PMID: 26502322 DOI: 10.1117/1.jbo.20.11.111218] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Accepted: 09/22/2015] [Indexed: 05/20/2023]
Abstract
Quantitative phase information obtained by digital holographic microscopy (DHM) can provide new insight into the functions and morphology of single red blood cells (RBCs). Since the functionality of a RBC is related to its three-dimensional (3-D) shape, quantitative 3-D geometric changes induced by storage time can help hematologists realize its optimal functionality period. We quantitatively investigate RBC 3-D geometric changes in the storage lesion using DHM. Our experimental results show that the substantial geometric transformation of the biconcave-shaped RBCs to the spherocyte occurs due to RBC storage lesion. This transformation leads to progressive loss of cell surface area, surface-to-volume ratio, and functionality of RBCs. Furthermore, our quantitative analysis shows that there are significant correlations between chemical and morphological properties of RBCs.
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27
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Byeon H, Ha YR, Lee SJ. Holographic analysis on deformation and restoration of malaria-infected red blood cells by antimalarial drug. J Biomed Opt 2015; 20:115003. [PMID: 26544670 DOI: 10.1117/1.jbo.20.11.115003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2015] [Accepted: 10/15/2015] [Indexed: 06/05/2023]
Abstract
Malaria parasites induce morphological, biochemical, and mechanical changes in red blood cells (RBCs). Mechanical variations are closely related to the deformability of individual RBCs. The deformation of various RBCs, including healthy and malaria-infected RBCs (iRBCs), can be directly observed through quantitative phase imaging (QPI). The effects of chloroquine treatment on the mechanical property variation of iRBCs were investigated using time-resolved holographic QPI of single live cells on a millisecond time scale. The deformabilities of healthy RBCs, iRBCs, and drug-treated iRBCs were compared, and the effect of chloroquine on iRBC restoration was experimentally examined. The present results are beneficial to elucidate the dynamic characteristics of iRBCs and the effect of the antimalarial drug on iRBCs.
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Affiliation(s)
- Hyeokjun Byeon
- Pohang University of Science and Technology, Department of Mechanical Engineering, San 31. Hyoja-dong, Namgu, Pohang 790-784, Republic of Korea
| | - Young-Ran Ha
- Pohang University of Science and Technology, Division of Integrative Biosciences and Biotech, San 31. Hyoja-dong, Namgu, Pohang 790-784, Republic of Korea
| | - Sang Joon Lee
- Pohang University of Science and Technology, Department of Mechanical Engineering, San 31. Hyoja-dong, Namgu, Pohang 790-784, Republic of KoreabPohang University of Science and Technology, Division of Integrative Biosciences and Biotech, San 31. Hyoja-don
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Courtney J, Woods E, Scholz D, Hall WW, Gautier VW. MATtrack: A MATLAB-Based Quantitative Image Analysis Platform for Investigating Real-Time Photo-Converted Fluorescent Signals in Live Cells. PLoS One 2015; 10:e0140209. [PMID: 26485569 PMCID: PMC4616565 DOI: 10.1371/journal.pone.0140209] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2015] [Accepted: 09/23/2015] [Indexed: 11/18/2022] Open
Abstract
We introduce here MATtrack, an open source MATLAB-based computational platform developed to process multi-Tiff files produced by a photo-conversion time lapse protocol for live cell fluorescent microscopy. MATtrack automatically performs a series of steps required for image processing, including extraction and import of numerical values from Multi-Tiff files, red/green image classification using gating parameters, noise filtering, background extraction, contrast stretching and temporal smoothing. MATtrack also integrates a series of algorithms for quantitative image analysis enabling the construction of mean and standard deviation images, clustering and classification of subcellular regions and injection point approximation. In addition, MATtrack features a simple user interface, which enables monitoring of Fluorescent Signal Intensity in multiple Regions of Interest, over time. The latter encapsulates a region growing method to automatically delineate the contours of Regions of Interest selected by the user, and performs background and regional Average Fluorescence Tracking, and automatic plotting. Finally, MATtrack computes convenient visualization and exploration tools including a migration map, which provides an overview of the protein intracellular trajectories and accumulation areas. In conclusion, MATtrack is an open source MATLAB-based software package tailored to facilitate the analysis and visualization of large data files derived from real-time live cell fluorescent microscopy using photoconvertible proteins. It is flexible, user friendly, compatible with Windows, Mac, and Linux, and a wide range of data acquisition software. MATtrack is freely available for download at eleceng.dit.ie/courtney/MATtrack.zip.
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Affiliation(s)
- Jane Courtney
- Dublin Institute of Technology, Kevin St, Dublin, Ireland
- * E-mail:
| | - Elena Woods
- UCD Centre for Research in Infectious Diseases, School of Medicine and Medical Science, University College Dublin (UCD), Dublin, Ireland
| | - Dimitri Scholz
- UCD Conway Institute of Biomolecular & Biomedical Research, School of Medicine and Biomedical Science University College Dublin (UCD), Dublin, Ireland
| | - William W. Hall
- UCD Centre for Research in Infectious Diseases, School of Medicine and Medical Science, University College Dublin (UCD), Dublin, Ireland
| | - Virginie W. Gautier
- UCD Centre for Research in Infectious Diseases, School of Medicine and Medical Science, University College Dublin (UCD), Dublin, Ireland
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29
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Yeo D, Wiraja C, Chuah YJ, Gao Y, Xu C. A Nanoparticle-based Sensor Platform for Cell Tracking and Status/Function Assessment. Sci Rep 2015; 5:14768. [PMID: 26440504 PMCID: PMC4593999 DOI: 10.1038/srep14768] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 09/08/2015] [Indexed: 12/29/2022] Open
Abstract
Nanoparticles are increasingly popular choices for labeling and tracking cells in biomedical applications such as cell therapy. However, all current types of nanoparticles fail to provide real-time, noninvasive monitoring of cell status and functions while often generating false positive signals. Herein, a nanosensor platform to track the real-time expression of specific biomarkers that correlate with cell status and functions is reported. Nanosensors are synthesized by encapsulating various sensor molecules within biodegradable polymeric nanoparticles. Upon intracellular entry, nanosensors reside within the cell cytoplasm, serving as a depot to continuously release sensor molecules for up to 30 days. In the absence of the target biomarkers, the released sensor molecules remain 'Off'. When the biomarker(s) is expressed, a detectable signal is generated (On). As a proof-of-concept, three nanosensor formulations were synthesized to monitor cell viability, secretion of nitric oxide, and β-actin mRNA expression.
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Affiliation(s)
- David Yeo
- School of Chemical & Biomedical Engineering, Nanyang Technological University, Singapore
| | - Christian Wiraja
- School of Chemical & Biomedical Engineering, Nanyang Technological University, Singapore
| | - Yon Jin Chuah
- School of Chemical & Biomedical Engineering, Nanyang Technological University, Singapore
| | - Yu Gao
- School of Chemical & Biomedical Engineering, Nanyang Technological University, Singapore
| | - Chenjie Xu
- School of Chemical & Biomedical Engineering, Nanyang Technological University, Singapore
- NTU-Northwestern Institute of Nanomedicine, Nanyang Technological University, Singapore
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30
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Zhang L, Qin G, Chai L, Zhang J, Yang F, Yang H, Xie S, Chen T. Spectral wide-field microscopic fluorescence resonance energy transfer imaging in live cells. J Biomed Opt 2015; 20:86011. [PMID: 26280539 DOI: 10.1117/1.jbo.20.8.086011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Accepted: 07/21/2015] [Indexed: 05/05/2023]
Abstract
With its precise, sensitive, and nondestructive features, spectral unmixing-based fluorescence resonance energy transfer (FRET) microscopy has been widely applied to visualize intracellular biological events. In this report, we set up a spectral wide-field microscopic FRET imaging system by integrating a varispec liquid crystal tunable filter into a wide-field microscope for quantitative FRET measurement in living cells. We implemented a representative emission-spectral unmixing-based FRET measurement method on this platform to simultaneously acquire pixel-to-pixel images of both FRET efficiency (E ) and acceptor-to-donor concentration ratio (R C ) in living HepG2 cells expressing fusion proteins in the presence or absence of free donors and acceptors and obtained consistent results with other instruments and methods. This stable and low-cost spectral wide-field microscopic FRET imaging system provides a new toolbox for imaging molecular events with high spatial resolution in living cells.
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Affiliation(s)
- Lili Zhang
- South China Normal University, College of Life Science, MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, Guangzhou 510631, China
| | - Guiqi Qin
- South China Normal University, College of Life Science, MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, Guangzhou 510631, China
| | - Liuying Chai
- South China Normal University, College of Life Science, MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, Guangzhou 510631, China
| | - Jiang Zhang
- South China Normal University, College of Life Science, MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, Guangzhou 510631, China
| | - Fangfang Yang
- South China Normal University, College of Life Science, MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, Guangzhou 510631, China
| | - Hongqin Yang
- Fujian Normal University, Institute of Laser and Optoelectronics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fuzhou 350007, China
| | - Shusen Xie
- Fujian Normal University, Institute of Laser and Optoelectronics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fuzhou 350007, China
| | - Tongsheng Chen
- South China Normal University, College of Life Science, MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, Guangzhou 510631, China
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31
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Georgescu W, Osseiran A, Rojec M, Liu Y, Bombrun M, Tang J, Costes SV. Characterizing the DNA Damage Response by Cell Tracking Algorithms and Cell Features Classification Using High-Content Time-Lapse Analysis. PLoS One 2015; 10:e0129438. [PMID: 26107175 PMCID: PMC4479605 DOI: 10.1371/journal.pone.0129438] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2014] [Accepted: 05/10/2015] [Indexed: 01/08/2023] Open
Abstract
Traditionally, the kinetics of DNA repair have been estimated using immunocytochemistry by labeling proteins involved in the DNA damage response (DDR) with fluorescent markers in a fixed cell assay. However, detailed knowledge of DDR dynamics across multiple cell generations cannot be obtained using a limited number of fixed cell time-points. Here we report on the dynamics of 53BP1 radiation induced foci (RIF) across multiple cell generations using live cell imaging of non-malignant human mammary epithelial cells (MCF10A) expressing histone H2B-GFP and the DNA repair protein 53BP1-mCherry. Using automatic extraction of RIF imaging features and linear programming techniques, we were able to characterize detailed RIF kinetics for 24 hours before and 24 hours after exposure to low and high doses of ionizing radiation. High-content-analysis at the single cell level over hundreds of cells allows us to quantify precisely the dose dependence of 53BP1 protein production, RIF nuclear localization and RIF movement after exposure to X-ray. Using elastic registration techniques based on the nuclear pattern of individual cells, we could describe the motion of individual RIF precisely within the nucleus. We show that DNA repair occurs in a limited number of large domains, within which multiple small RIFs form, merge and/or resolve with random motion following normal diffusion law. Large foci formation is shown to be mainly happening through the merging of smaller RIF rather than through growth of an individual focus. We estimate repair domain sizes of 7.5 to 11 µm2 with a maximum number of ~15 domains per MCF10A cell. This work also highlights DDR which are specific to doses larger than 1 Gy such as rapid 53BP1 protein increase in the nucleus and foci diffusion rates that are significantly faster than for spontaneous foci movement. We hypothesize that RIF merging reflects a "stressed" DNA repair process that has been taken outside physiological conditions when too many DSB occur at once. High doses of ionizing radiation lead to RIF merging into repair domains which in turn increases DSB proximity and misrepair. Such finding may therefore be critical to explain the supralinear dose dependence for chromosomal rearrangement and cell death measured after exposure to ionizing radiation.
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Affiliation(s)
- Walter Georgescu
- Lawrence Berkeley National Laboratory, Life Sciences Division, Berkeley, CA, United States of America
| | - Alma Osseiran
- Lawrence Berkeley National Laboratory, Life Sciences Division, Berkeley, CA, United States of America
| | - Maria Rojec
- Lawrence Berkeley National Laboratory, Life Sciences Division, Berkeley, CA, United States of America
| | - Yueyong Liu
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, United States of America
| | | | - Jonathan Tang
- Lawrence Berkeley National Laboratory, Life Sciences Division, Berkeley, CA, United States of America
| | - Sylvain V. Costes
- Lawrence Berkeley National Laboratory, Life Sciences Division, Berkeley, CA, United States of America
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32
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Wang H, Feng Y, Sa Y, Ma Y, Lu JQ, Hu XH. Acquisition of cross-polarized diffraction images and study of blurring effect by one time-delay-integration camera. Appl Opt 2015; 54:5223-5228. [PMID: 26192687 DOI: 10.1364/ao.54.005223] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Blurred diffraction images acquired from flowing particles affect the measurement of fringe patterns and subsequent analysis. An imaging unit with one time-delay-integration (TDI) camera has been developed to acquire two cross-polarized diffraction images. It was shown that selected elements of Mueller matrix of single scatters can be imaged with pixel matching precision in this configuration. With the TDI camera, the effect of blurring on imaging of scattered light propagating along the side directions was found to be much more significant for biological cells than microspheres. Despite blurring, classification of MCF-7 and K562 cells is feasible since the effect has similar influence on extracted image parameters. Furthermore, image blurring can be useful for analysis of the correlations among texture parameters for characterization of diffraction images from single cells. The results demonstrate that with one TDI camera the polarization diffraction imaging flow cytometry can be significantly improved and angular distribution of selected Mueller matrix elements can be accurately measured for rapid and morphology-based assay of particles and cells without fluorescent labeling.
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Vasudevan S, Chen GCK, Lin Z, Ng BK. Quantitative photothermal phase imaging of red blood cells using digital holographic photothermal microscope. Appl Opt 2015; 54:4478-4484. [PMID: 25967505 DOI: 10.1364/ao.54.004478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2015] [Accepted: 04/14/2015] [Indexed: 06/04/2023]
Abstract
Photothermal microscopy (PTM), a noninvasive pump-probe high-resolution microscopy, has been applied as a bioimaging tool in many biomedical studies. PTM utilizes a conventional phase contrast microscope to obtain highly resolved photothermal images. However, phase information cannot be extracted from these photothermal images, as they are not quantitative. Moreover, the problem of halos inherent in conventional phase contrast microscopy needs to be tackled. Hence, a digital holographic photothermal microscopy technique is proposed as a solution to obtain quantitative phase images. The proposed technique is demonstrated by extracting phase values of red blood cells from their photothermal images. These phase values can potentially be used to determine the temperature distribution of the photothermal images, which is an important study in live cell monitoring applications.
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Balsam J, Bruck HA, Rasooly A. Cell streak imaging cytometry for rare cell detection. Biosens Bioelectron 2015; 64:154-60. [PMID: 25212069 PMCID: PMC4252841 DOI: 10.1016/j.bios.2014.08.065] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2014] [Revised: 08/19/2014] [Accepted: 08/22/2014] [Indexed: 11/30/2022]
Abstract
Detection of rare cells, such as circulating tumor cells, have many clinical applications. To measure rare cells with increased sensitivity and improved data managements, we developed an imaging flow cytometer with a streak imaging mode capability. The new streak mode imaging mode utilizes low speed video to capture moving fluorescently labeled cells in a flow cell. Each moving cell is imaged on multiple pixels on each frame, where the cell path is marked as a streak line proportional to the length of the exposure. Finding rare cells (e.g., <1 cell/mL) requires measuring larger sample volumes to achieve higher sensitivity, therefore we combined streak mode imaging with a "wide" high throughput flow cell (e.g. flow rates set to 10 mL/min) in contrast to the conventional "narrow" hydrodynamic focusing cells typically used in cytometry that are inherently limited to low flow rates. The new flow cell is capable of analyzing 20 mL/min of fluorescently labeled cells. To further increase sensitivity, the signal to noise ratio of the images was also enhanced by combining three imaging methods: (1) background subtraction, (2) pixel binning, and (3) CMOS color channel selection. The streaking mode cytometer has been used for the analysis of SYTO-9 labeled THP-1 human monocytes in buffer and in blood. Samples of cells at 1 cell/mL and 0.1 cell/mL were analyzed in 30 mL with flow rates set to 10 mL/min and frame rates of 4 fps (frame per second). For the target of 1 cell/mL, an average concentration of 0.91 cell/mL was measured by cytometry, with a standard error of 0.03 (C(95) = 0.85-0.97). For the target of 0.1 cell/mL, an average concentration of 0.083 cell/mL was measured, with a standard error of 0.01 (C(95) = 0.065-0.102). Whole blood was also spiked with SYTO-9 labeled cells to a concentration of 10 cell/mL, and the average flow cytometry measurement was 8.7 cells/mL (i.e. 0.87 cells/mL in diluted blood) with a 95% CL of 8.1-9.2 cells/mL. This demonstrated the ability to detect rare cells in blood with high accuracy. Such detection approaches for rare cells have many potential clinical applications. Furthermore, the simplicity and low cost of this device may enable expansion of cell-based clinical diagnostics, especially in resource-poor settings.
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Affiliation(s)
- Joshua Balsam
- Division of Biology, Office of Science and Engineering, FDA, Silver Spring, MD 20993, United States; University of Maryland, College Park, MD 20742, United States
| | - Hugh Alan Bruck
- University of Maryland, College Park, MD 20742, United States
| | - Avraham Rasooly
- Division of Biology, Office of Science and Engineering, FDA, Silver Spring, MD 20993, United States; Office of Cancer Complementary and Alternative Medicine, National Cancer Institute, Rockville, MD 20850, United States.
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35
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Angione SL, Oulhen N, Brayboy LM, Tripathi A, Wessel GM. Simple perfusion apparatus for manipulation, tracking, and study of oocytes and embryos. Fertil Steril 2014; 103:281-90.e5. [PMID: 25450296 DOI: 10.1016/j.fertnstert.2014.09.039] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2014] [Revised: 09/25/2014] [Accepted: 09/26/2014] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To develop and implement a device and protocol for oocyte analysis at a single cell level. The device must be capable of high resolution imaging, temperature control, perfusion of media, drugs, sperm, and immunolabeling reagents all at defined flow rates. Each oocyte and resultant embryo must remain spatially separated and defined. DESIGN Experimental laboratory study. SETTING University and academic center for reproductive medicine. PATIENT(S)/ANIMAL(S) Women with eggs retrieved for intracytoplasmic sperm injection (ICSI) cycles, adult female FVBN and B6C3F1 mouse strains, sea stars. INTERVENTION(S) Real-time, longitudinal imaging of oocytes after fluorescent labeling, insemination, and viability tests. MAIN OUTCOME MEASURE(S) Cell and embryo viability, immunolabeling efficiency, live cell endocytosis quantification, precise metrics of fertilization, and embryonic development. RESULT(S) Single oocytes were longitudinally imaged after significant changes in media, markers, endocytosis quantification, and development, all with supreme control by microfluidics. Cells remained viable, enclosed, and separate for precision measurements, repeatability, and imaging. CONCLUSION(S) We engineered a simple device to load, visualize, experiment, and effectively record individual oocytes and embryos without loss of cells. Prolonged incubation capabilities provide longitudinal studies without need for transfer and potential loss of cells. This simple perfusion apparatus provides for careful, precise, and flexible handling of precious samples facilitating clinical IVF approaches.
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Affiliation(s)
- Stephanie L Angione
- Center for Biomedical Engineering, School of Engineering, Brown University, Providence, Rhode Island
| | - Nathalie Oulhen
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island
| | - Lynae M Brayboy
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Women & Infants Hospital, Providence, Rhode Island; The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Anubhav Tripathi
- Center for Biomedical Engineering, School of Engineering, Brown University, Providence, Rhode Island
| | - Gary M Wessel
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island.
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36
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Schulze F, Dienelt A, Geissler S, Zaslansky P, Schoon J, Henzler K, Guttmann P, Gramoun A, Crowe LA, Maurizi L, Vallée JP, Hofmann H, Duda GN, Ode A. Amino-polyvinyl alcohol coated superparamagnetic iron oxide nanoparticles are suitable for monitoring of human mesenchymal stromal cells in vivo. Small 2014; 10:4340-4351. [PMID: 24990430 DOI: 10.1002/smll.201400707] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2014] [Revised: 05/06/2014] [Indexed: 06/03/2023]
Abstract
Mesenchymal stromal cells (MSCs) are promising candidates in regenerative cell-therapies. However, optimizing their number and route of delivery remains a critical issue, which can be addressed by monitoring the MSCs' bio-distribution in vivo using super-paramagnetic iron-oxide nanoparticles (SPIONs). In this study, amino-polyvinyl alcohol coated (A-PVA) SPIONs are introduced for cell-labeling and visualization by magnetic resonance imaging (MRI) of human MSCs. Size and surface charge of A-PVA-SPIONs differ depending on their solvent. Under MSC-labeling conditions, A-PVA-SPIONs have a hydrodynamic diameter of 42 ± 2 nm and a negative Zeta potential of 25 ± 5 mV, which enable efficient internalization by MSCs without the need to use transfection agents. Transmission X-ray microscopy localizes A-PVA-SPIONs in intracellular vesicles and as cytosolic single particles. After identifying non-interfering cell-assays and determining the delivered and cellular dose, in addition to the administered dose, A-PVA-SPIONs are found to be non-toxic to MSCs and non-destructive towards their multi-lineage differentiation potential. Surprisingly, MSC migration is increased. In MRI, A-PVA-SPION-labeled MSCs are successfully visualized in vitro and in vivo. In conclusion, A-PVA-SPIONs have no unfavorable influences on MSCs, although it becomes evident how sensitive their functional behavior is towards SPION-labeling. And A-PVA-SPIONs allow MSC-monitoring in vivo.
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Affiliation(s)
- Frank Schulze
- Julius Wolff Institute, Charité - Universitätsmedizin Berlin, 13353, Berlin, Germany
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37
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Zhou Y, Pei W, Wang C, Zhu J, Wu J, Yan Q, Huang L, Huang W, Yao C, Loo JSC, Zhang Q. Rhodamine-modified upconversion nanophosphors for ratiometric detection of hypochlorous acid in aqueous solution and living cells. Small 2014; 10:3560-7. [PMID: 24497481 DOI: 10.1002/smll.201303127] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2013] [Revised: 11/30/2013] [Indexed: 05/13/2023]
Abstract
Hypochlorous acid (HOCl), a reactive oxygen species (ROS) produced by myeloperoxidase (MPO) enzyme-mediated peroxidation of chloride ions, acts as a key microbicidal agent in immune systems. However, misregulated production of HOCl could damage host tissues and cause many inflammation-related diseases. Due to its biological importance, many efforts have been focused on developing fluorescent probes to image HOCl in living system. Compared with those conventional fluorescent probes, up-conversion luminescence (UCL) detection system has been proven to exhibit a lot of advantages including no photo-bleaching, higher light penetration depth, no autofluorescence and less damage to biosamples. Herein, we report a novel water-soluble organic-nano detection system based on rhodamine-modified UCNPs for UCL-sensing HOCl. Upon the interaction with HOCl, the green UCL emission intensity in the detection system were gradually decreased, but the emissions in the NIR region almost have no change, which is very important for the ratiometric UCL detection of HOCl in aqueous solution. More importantly, RBH1-UCNPs could be used for the ratiometric UCL visualization of HOCl released by MPO-mediated peroxidation of chloride ions in living cells. This organic-nano system could be further developed into a novel next-generation imaging technique for bio-imaging HOCl in living system without background noise.
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Affiliation(s)
- Yi Zhou
- School of Materials Science and Engineering, Nanyang Technological University, Singapore, 639798, Singapore
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38
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Lynch AE, Triajianto J, Routledge E. Low-cost motility tracking system (LOCOMOTIS) for time-lapse microscopy applications and cell visualisation. PLoS One 2014; 9:e103547. [PMID: 25121722 PMCID: PMC4133191 DOI: 10.1371/journal.pone.0103547] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2014] [Accepted: 06/29/2014] [Indexed: 11/18/2022] Open
Abstract
Direct visualisation of cells for the purpose of studying their motility has typically required expensive microscopy equipment. However, recent advances in digital sensors mean that it is now possible to image cells for a fraction of the price of a standard microscope. Along with low-cost imaging there has also been a large increase in the availability of high quality, open-source analysis programs. In this study we describe the development and performance of an expandable cell motility system employing inexpensive, commercially available digital USB microscopes to image various cell types using time-lapse and perform tracking assays in proof-of-concept experiments. With this system we were able to measure and record three separate assays simultaneously on one personal computer using identical microscopes, and obtained tracking results comparable in quality to those from other studies that used standard, more expensive, equipment. The microscopes used in our system were capable of a maximum magnification of 413.6×. Although resolution was lower than that of a standard inverted microscope we found this difference to be indistinguishable at the magnification chosen for cell tracking experiments (206.8×). In preliminary cell culture experiments using our system, velocities (mean µm/min ± SE) of 0.81 ± 0.01 (Biomphalaria glabrata hemocytes on uncoated plates), 1.17 ± 0.004 (MDA-MB-231 breast cancer cells), 1.24 ± 0.006 (SC5 mouse Sertoli cells) and 2.21 ± 0.01 (B. glabrata hemocytes on Poly-L-Lysine coated plates), were measured and are consistent with previous reports. We believe that this system, coupled with open-source analysis software, demonstrates that higher throughput time-lapse imaging of cells for the purpose of studying motility can be an affordable option for all researchers.
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Affiliation(s)
- Adam E. Lynch
- Institute for the Environment, Brunel University, Uxbridge, London, United Kingdom
- * E-mail:
| | | | - Edwin Routledge
- Institute for the Environment, Brunel University, Uxbridge, London, United Kingdom
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39
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Antfolk M, Muller PB, Augustsson P, Bruus H, Laurell T. Focusing of sub-micrometer particles and bacteria enabled by two-dimensional acoustophoresis. Lab Chip 2014; 14:2791-9. [PMID: 24895052 DOI: 10.1039/c4lc00202d] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Handling of sub-micrometer bioparticles such as bacteria are becoming increasingly important in the biomedical field and in environmental and food analysis. As a result, there is an increased need for less labor-intensive and time-consuming handling methods. Here, an acoustophoresis-based microfluidic chip that uses ultrasound to focus sub-micrometer particles and bacteria, is presented. The ability to focus sub-micrometer bioparticles in a standing one-dimensional acoustic wave is generally limited by the acoustic-streaming-induced drag force, which becomes increasingly significant the smaller the particles are. By using two-dimensional acoustic focusing, i.e. focusing of the sub-micrometer particles both horizontally and vertically in the cross section of a microchannel, the acoustic streaming velocity field can be altered to allow focusing. Here, the focusability of E. coli and polystyrene particles as small as 0.5 μm in diameter in microchannels of square or rectangular cross sections, is demonstrated. Numerical analysis was used to determine generic transverse particle trajectories in the channels, which revealed spiral-shaped trajectories of the sub-micrometer particles towards the center of the microchannel; this was also confirmed by experimental observations. The ability to focus and enrich bacteria and other sub-micrometer bioparticles using acoustophoresis opens the research field to new microbiological applications.
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Affiliation(s)
- M Antfolk
- Department of Biomedical Engineering, Lund University, Box 118, SE-221 00 Lund, Sweden.
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40
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Neupane B, Ligler FS, Wang G. Review of recent developments in stimulated emission depletion microscopy: applications on cell imaging. J Biomed Opt 2014; 19:080901. [PMID: 25121478 DOI: 10.1117/1.jbo.19.8.080901] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2014] [Accepted: 07/21/2014] [Indexed: 06/03/2023]
Abstract
Stimulated emission depletion (STED) microscopy is one type of far-field optical technique demonstrated to provide subdiffraction resolution. STED microscopy utilizes a donut-shaped depletion beam to limit the probe volume to be much smaller than a diffraction-limited spot. Resolutions as small as a few tens of nanometers laterally are reported for cell analysis. The different versions of STED microscopes are described and contrasted in terms of their applicability for biological imaging. Finally, we suggest likely avenues for improving the performance and increasing the utility of STED microscopy.
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Affiliation(s)
- Bhanu Neupane
- University of North Carolina at Chapel Hill and North Carolina State University, Department of Biomedical Engineering, Raleigh, North Carolina 27599-7115, United States
| | - Frances S Ligler
- University of North Carolina at Chapel Hill and North Carolina State University, Department of Biomedical Engineering, Raleigh, North Carolina 27599-7115, United States
| | - Gufeng Wang
- North Carolina State University, Department of Chemistry, Raleigh, North Carolina 27695-8204, United States
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41
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Cicconet M, Gutwein M, Gunsalus KC, Geiger D. Label free cell-tracking and division detection based on 2D time-lapse images for lineage analysis of early embryo development. Comput Biol Med 2014; 51:24-34. [PMID: 24873887 PMCID: PMC4096606 DOI: 10.1016/j.compbiomed.2014.04.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2013] [Revised: 04/11/2014] [Accepted: 04/15/2014] [Indexed: 11/17/2022]
Abstract
In this paper we report a database and a series of techniques related to the problem of tracking cells, and detecting their divisions, in time-lapse movies of mammalian embryos. Our contributions are (1) a method for counting embryos in a well, and cropping each individual embryo across frames, to create individual movies for cell tracking; (2) a semi-automated method for cell tracking that works up to the 8-cell stage, along with a software implementation available to the public (this software was used to build the reported database); (3) an algorithm for automatic tracking up to the 4-cell stage, based on histograms of mirror symmetry coefficients captured using wavelets; (4) a cell-tracking database containing 100 annotated examples of mammalian embryos up to the 8-cell stage; and (5) statistical analysis of various timing distributions obtained from those examples.
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Affiliation(s)
- Marcelo Cicconet
- Center for Genomics and Systems Biology, New York University, United States.
| | - Michelle Gutwein
- Center for Genomics and Systems Biology, New York University, United States
| | - Kristin C Gunsalus
- Center for Genomics and Systems Biology, New York University, United States
| | - Davi Geiger
- Courant Institute of Mathematical Sciences, New York University, United States
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42
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Wu YC, Kulbatski I, Medeiros PJ, Maeda A, Bu J, Xu L, Chen Y, DaCosta RS. Autofluorescence imaging device for real-time detection and tracking of pathogenic bacteria in a mouse skin wound model: preclinical feasibility studies. J Biomed Opt 2014; 19:085002. [PMID: 25089944 DOI: 10.1117/1.jbo.19.8.085002] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Accepted: 06/19/2014] [Indexed: 06/03/2023]
Abstract
Bacterial infection significantly impedes wound healing. Clinical diagnosis of wound infections is subjective and suboptimal, in part because bacteria are invisible to the naked eye during clinical examination. Moreover, bacterial infection can be present in asymptomatic patients, leading to missed opportunities for diagnosis and treatment. We developed a prototype handheld autofluorescence (AF) imaging device (Portable Real-time Optical Detection, Identification and Guidance for Intervention - PRODIGI) to noninvasively visualize and measure bacterial load in wounds in real time. We conducted preclinical pilot studies in an established nude mouse skin wound model inoculated with bioluminescent Staphylococcus aureus bacteria. We tested the feasibility of longitudinal AF imaging for in vivo visualization of bacterial load in skin wounds, validated by bioluminescence imaging. We showed that bacteria (S. aureus), occult to standard examination, can be visualized in wounds using PRODIGI. We also detected quantitative changes in wound bacterial load over time based on the antibiotic treatment and the correlation of bacterial AF intensity with bacterial load. AF imaging of wounds offers a safe, noninvasive method for visualizing the presence, location, and extent of bacteria as well as measuring relative changes in bacterial load in wounds in real time.
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Affiliation(s)
- Yichao Charlie Wu
- University Health Network, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5G 2M9, Canada
| | - Iris Kulbatski
- University Health Network, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5G 2M9, Canada
| | - Philip J Medeiros
- University Health Network, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5G 2M9, Canada
| | - Azusa Maeda
- University Health Network, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5G 2M9, CanadabUniversity of Toronto, Department of Medical Biophysics, Faculty of Medicine, 1 King's College Circle, Toronto, Ontario M5S 1A8, Canada
| | - Jiachuan Bu
- University Health Network, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5G 2M9, Canada
| | - Lizhen Xu
- University Health Network, Department of Biostatistics, 610 University Avenue, Toronto, Ontario M5G 2M9, CanadadUniversity of Toronto, Dalla Lana School of Public Health, 155 College Street, 6th Floor, Toronto, Ontario M5T 3M7, Canada
| | - Yonghong Chen
- University Health Network, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5G 2M9, Canada
| | - Ralph S DaCosta
- University Health Network, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5G 2M9, CanadabUniversity of Toronto, Department of Medical Biophysics, Faculty of Medicine, 1 King's College Circle, Toronto, Ontario M5S 1A8, CanadaeUni
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43
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Memmolo P, Miccio L, Finizio A, Netti PA, Ferraro P. Holographic tracking of living cells by three-dimensional reconstructed complex wavefronts alignment. Opt Lett 2014; 39:2759-2762. [PMID: 24784096 DOI: 10.1364/ol.39.002759] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
We propose here a new three-dimensional (3D) holographic tracking method capable to track, simultaneously and in a single step, all the spatial coordinates of micro-objects. The approach is based on the enhanced correlation coefficient (ECC) maximization method but applied, for the first time to the best of our knowledge, directly on the holographic reconstructed complex wave fields. The key novelty of the proposed strategy is its ability to calculate simultaneously the 3D coordinates of cells, without decoupling the contribution of amplitude and phase. The proposed strategy is tested on living cells (i.e., NIH 3T3 mouse fibroblast) flowing into a microfluidic channel and compared with classical holographic tracking approach. Theoretical description and experimental validation of the proposed strategy are reported.
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44
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Abstract
We demonstrate imaging of blood cells enclosed in chicken skin tissue using speckle scanning microscopy (SSM). Clear images of multiple cells were obtained with subcellular resolution and good image fidelity, provided that the object dimension was smaller than the maximum scanning range of the speckle pattern. These results point to the potential and the challenges of using SSM technique for biological imaging.
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45
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Kim K, Kim KS, Park H, Ye JC, Park Y. Real-time visualization of 3-D dynamic microscopic objects using optical diffraction tomography. Opt Express 2013; 21:32269-78. [PMID: 24514820 DOI: 10.1364/oe.21.032269] [Citation(s) in RCA: 81] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
3-D refractive index (RI) distribution is an intrinsic bio-marker for the chemical and structural information about biological cells. Here we develop an optical diffraction tomography technique for the real-time reconstruction of 3-D RI distribution, employing sparse angle illumination and a graphic processing unit (GPU) implementation. The execution time for the tomographic reconstruction is 0.21 s for 96(3) voxels, which is 17 times faster than that of a conventional approach. We demonstrated the real-time visualization capability with imaging the dynamics of Brownian motion of an anisotropic colloidal dimer and the dynamic shape change in a red blood cell upon shear flow.
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46
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Li K, Ding D, Prashant C, Qin W, Yang CT, Tang BZ, Liu B. Gadolinium-functionalized aggregation-induced emission dots as dual-modality probes for cancer metastasis study. Adv Healthc Mater 2013; 2:1600-5. [PMID: 23836611 DOI: 10.1002/adhm.201300135] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2013] [Indexed: 01/15/2023]
Abstract
Understanding the localization and engraftment of tumor cells at postintravasation stage of metastasis is of high importance in cancer diagnosis and treatment. Advanced fluorescent probes and facile methodologies for cell tracing play a key role in metastasis studies. In this work, we design and synthesize a dual-modality imaging dots with both optical and magnetic contrast through integration of a magnetic resonance imaging reagent, gadolinium(III), into a novel long-term cell tracing probe with aggregation-induced emission (AIE) in far-red/near-infrared region. The obtained fluorescent-magnetic AIE dots have both high fluorescence quantum yield (25%) and T1 relaxivity (7.91 mM(-1) s(-1) ) in aqueous suspension. After further conjugation with a cell membrane penetrating peptide, the dual-modality dots can be efficiently internalized into living cells. The gadolinium(III) allows accurate quantification of biodistribution of cancer cells via intraveneous injection, while the high fluorescence provides engraftment information of cells at single cellular level. The dual-modality AIE dots show obvious synergistic advantages over either single imaging modality and hold great promises in advanced biomedical studies.
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Affiliation(s)
- Kai Li
- Institute of Materials Research and Engineering, 3 Research Link, 117602, Singapore
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47
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Lee S, Heo C, Suh M, Lee YH. Nanoscale live cell optical imaging of the dynamics of intracellular microvesicles in neural cells. J Nanosci Nanotechnol 2013; 13:7229-7234. [PMID: 24245234 DOI: 10.1166/jnn.2013.8093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Recent advances in biotechnology and imaging technology have provided great opportunities to investigate cellular dynamics. Conventional imaging methods such as transmission electron microscopy, scanning electron microscopy, and atomic force microscopy are powerful techniques for cellular imaging, even at the nanoscale level. However, these techniques have limitations applications in live cell imaging because of the experimental preparation required, namely cell fixation, and the innately small field of view. In this study, we developed a nanoscale optical imaging (NOI) system that combines a conventional optical microscope with a high resolution dark-field condenser (Cytoviva, Inc.) and halogen illuminator. The NOI system's maximum resolution for live cell imaging is around 100 nm. We utilized NOI to investigate the dynamics of intracellular microvesicles of neural cells without immunocytological analysis. In particular, we studied direct, active random, and moderate random dynamic motions of intracellular microvesicles and visualized lysosomal vesicle changes after treatment of cells with a lysosomal inhibitor (NH4Cl). Our results indicate that the NOI system is a feasible, high-resolution optical imaging system for live small organelles that does not require complicated optics or immunocytological staining processes.
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Affiliation(s)
- Sohee Lee
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University
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48
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Astolfo A, Arfelli F, Schültke E, James S, Mancini L, Menk RH. A detailed study of gold-nanoparticle loaded cells using X-ray based techniques for cell-tracking applications with single-cell sensitivity. Nanoscale 2013; 5:3337-3345. [PMID: 23467621 DOI: 10.1039/c3nr34089a] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
In the present study complementary high-resolution imaging techniques on different length scales are applied to elucidate a cellular loading protocol of gold nanoparticles and subsequently its impact on long term and high-resolution cell-tracking utilizing X-ray technology. Although demonstrated for malignant cell lines the results can be applied to non-malignant cell lines as well. In particular the accumulation of the gold marker per cell has been assessed quantitatively by virtue of electron microscopy, two-dimensional X-ray fluorescence imaging techniques and X-ray CT with micrometric and sub-micrometric resolution. Moreover, utilizing these techniques the three dimensional distribution of the incorporated nanoparticles, which are sequestered in lysosomes as a permanent marker, could be determined. The latter allowed elucidation of the gold partition during mitosis and the cell size, which subsequently enabled us to define the optimal instrument settings of a compact microCT system to visualize gold loaded cells. The results obtained demonstrate the feasibility of cell-tracking using X-ray CT with compact sources.
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Affiliation(s)
- Alberto Astolfo
- Australian Synchrotron Company Ltd, 800, Blackburn Rd., Clayton, VIC 3168, Australia.
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49
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Abstract
We present an optical system to measure height maps of non-adherent cells as they flow through a microfluidic channel. The cells are suspended in an index-matching absorbing buffer, where cell height is evaluated by measuring the difference in absorption between the cell and the background. Unlike interferometric microscopes, the measured cell height is nearly independent of the cell's optical properties. The height maps are captured using a single exposure of a color camera, and consequently the system is capable of high-throughput characterization of large collections of cells. Using this system, we have measured more than 1600 height maps and volumes of three different leukemia cell lines.
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Affiliation(s)
- Ethan Schonbrun
- Rowland Institute at Harvard, Harvard University, Cambridge, Massachusetts 02142, USA.
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50
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Pope I, Langbein W, Watson P, Borri P. Simultaneous hyperspectral differential-CARS, TPF and SHG microscopy with a single 5 fs Ti:Sa laser. Opt Express 2013; 21:7096-106. [PMID: 23546091 DOI: 10.1364/oe.21.007096] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
We have developed a multimodal multiphoton laser-scanning microscope for cell imaging featuring simultaneous acquisition of differential Coherent Antistokes Raman Scattering (D-CARS), two-photon fluorescence (TPF) and second harmonic generation (SHG) using a single 5 fs Ti:Sa broadband (660-970 nm) laser. The spectral and temporal pulse requirements of these modalities were optimized independently by splitting the laser spectrum into three parts: TPF/SHG excitation (> 900 nm), CARS Pump excitation (< 730 nm), and CARS Stokes excitation (730-900 nm). In particular, by applying an equal linear chirp to pump and Stokes pulses using glass dispersion we achieved a CARS spectral resolution of 10 cm(-1), and acquired CARS images over the 1200-3800 cm(-1) vibrational range selected by the time delay between pump and Stokes. A prism pulse compressor in the TPF/SHG excitation was used to achieve Fourier limited 30 fs pulses at the sample for optimum TPF and SHG. D-CARS was implemented with few passive optical elements and enabled simultaneous excitation and detection of two vibrational frequencies with a separation adjustable from 20 cm(-1) to 150 cm(-1) for selective chemical contrast and background suppression. The excitation/detection set-up using beam-scanning was built around a commercial inverted microscope stand providing conventional bright-field, differential interference contrast and epi-fluorescence for user-friendly characterization of biological samples. Examples of CARS hyperspectral images and simultaneous acquisition of D-CARS, TPF and SHG images in both forward and epi-direction are shown on HeLa cells, stem-cell derived human adipocytes and mouse tissues.
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Affiliation(s)
- Iestyn Pope
- Cardiff University School of Biosciences, Museum Avenue, Cardiff CF10 3AX, UK
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