1
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Bresci A, Kobayashi-Kirschvink KJ, Cerullo G, Vanna R, So PTC, Polli D, Kang JW. Label-free morpho-molecular phenotyping of living cancer cells by combined Raman spectroscopy and phase tomography. Commun Biol 2024; 7:785. [PMID: 38951178 PMCID: PMC11217291 DOI: 10.1038/s42003-024-06496-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 06/23/2024] [Indexed: 07/03/2024] Open
Abstract
Accurate, rapid and non-invasive cancer cell phenotyping is a pressing concern across the life sciences, as standard immuno-chemical imaging and omics require extended sample manipulation. Here we combine Raman micro-spectroscopy and phase tomography to achieve label-free morpho-molecular profiling of human colon cancer cells, following the adenoma, carcinoma, and metastasis disease progression, in living and unperturbed conditions. We describe how to decode and interpret quantitative chemical and co-registered morphological cell traits from Raman fingerprint spectra and refractive index tomograms. Our multimodal imaging strategy rapidly distinguishes cancer phenotypes, limiting observations to a low number of pristine cells in culture. This synergistic dataset allows us to study independent or correlated information in spectral and tomographic maps, and how it benefits cell type inference. This method is a valuable asset in biomedical research, particularly when biological material is in short supply, and it holds the potential for non-invasive monitoring of cancer progression in living organisms.
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Affiliation(s)
- Arianna Bresci
- G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
- Department of Physics, Politecnico di Milano, Milan, 20133, Italy.
| | - Koseki J Kobayashi-Kirschvink
- G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Giulio Cerullo
- Department of Physics, Politecnico di Milano, Milan, 20133, Italy
- CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Milan, 20133, Italy
| | - Renzo Vanna
- CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Milan, 20133, Italy
| | - Peter T C So
- G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Dario Polli
- Department of Physics, Politecnico di Milano, Milan, 20133, Italy.
- CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Milan, 20133, Italy.
| | - Jeon Woong Kang
- G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
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2
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Möckel C, Beck T, Kaliman S, Abuhattum S, Kim K, Kolb J, Wehner D, Zaburdaev V, Guck J. Estimation of the mass density of biological matter from refractive index measurements. BIOPHYSICAL REPORTS 2024; 4:100156. [PMID: 38718671 PMCID: PMC11090064 DOI: 10.1016/j.bpr.2024.100156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 04/04/2024] [Accepted: 04/19/2024] [Indexed: 05/16/2024]
Abstract
The quantification of physical properties of biological matter gives rise to novel ways of understanding functional mechanisms. One of the basic biophysical properties is the mass density (MD). It affects the dynamics in sub-cellular compartments and plays a major role in defining the opto-acoustical properties of cells and tissues. As such, the MD can be connected to the refractive index (RI) via the well known Lorentz-Lorenz relation, which takes into account the polarizability of matter. However, computing the MD based on RI measurements poses a challenge, as it requires detailed knowledge of the biochemical composition of the sample. Here we propose a methodology on how to account for assumptions about the biochemical composition of the sample and respective RI measurements. To this aim, we employ the Biot mixing rule of RIs alongside the assumption of volume additivity to find an approximate relation of MD and RI. We use Monte-Carlo simulations and Gaussian propagation of uncertainty to obtain approximate analytical solutions for the respective uncertainties of MD and RI. We validate this approach by applying it to a set of well-characterized complex mixtures given by bovine milk and intralipid emulsion and employ it to estimate the MD of living zebrafish (Danio rerio) larvae trunk tissue. Our results illustrate the importance of implementing this methodology not only for MD estimations but for many other related biophysical problems, such as mechanical measurements using Brillouin microscopy and transient optical coherence elastography.
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Affiliation(s)
- Conrad Möckel
- Max Planck Institute for the Science of Light, Erlangen, Germany; Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany; Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Timon Beck
- Max Planck Institute for the Science of Light, Erlangen, Germany; Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Sara Kaliman
- Max Planck Institute for the Science of Light, Erlangen, Germany; Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Shada Abuhattum
- Max Planck Institute for the Science of Light, Erlangen, Germany; Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Kyoohyun Kim
- Max Planck Institute for the Science of Light, Erlangen, Germany; Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Julia Kolb
- Max Planck Institute for the Science of Light, Erlangen, Germany; Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany; Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Daniel Wehner
- Max Planck Institute for the Science of Light, Erlangen, Germany; Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Vasily Zaburdaev
- Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany; Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Jochen Guck
- Max Planck Institute for the Science of Light, Erlangen, Germany; Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany; Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
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3
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Butt SS, Fida I, Fatima M, Khan MS, Mustafa S, Khan MN, Ahmad I. Quantitative phase imaging for characterization of single cell growth dynamics. Lasers Med Sci 2023; 38:241. [PMID: 37851109 DOI: 10.1007/s10103-023-03902-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 09/30/2023] [Indexed: 10/19/2023]
Abstract
Quantitative phase imaging (QPI) has emerged as an indispensable tool in the field of biomedicine, offering the ability to obtain quantitative maps of phase changes due to optical path length delays without the need for contrast agents. These maps provide valuable information about cellular morphology and dynamics, unperturbed by the introduction of exogenous substances. In this review, a summary of recent studies that have focused on elucidating the growth dynamics of individual cells using QPI is presented. Specifically, investigations into cellular changes occurring during mitosis, the differentiation of cellular organelles, the assessment of distinct cell death processes (i.e., apoptosis, necrosis, and oncosis) and the precise measurement of live cell temperature are explored. Furthermore, the captivating applications of QPI in theragnostics, where its potential for transformative impact is prominently showcased, are highlighted. Finally, the challenges that need to be overcome for its wider adoption and successful integration into biomedical research are outlined.
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Affiliation(s)
| | - Irum Fida
- The Women University Multan, Multan, Pakistan
| | | | - Muskan Saif Khan
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Sonia Mustafa
- School of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin, China
| | | | - Iftikhar Ahmad
- Institute of Radiotherapy and Nuclear Medicine (IRNUM), Peshawar, Pakistan.
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4
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Monfort T, Azzollini S, Brogard J, Clémençon M, Slembrouck-Brec A, Forster V, Picaud S, Goureau O, Reichman S, Thouvenin O, Grieve K. Dynamic full-field optical coherence tomography module adapted to commercial microscopes allows longitudinal in vitro cell culture study. Commun Biol 2023; 6:992. [PMID: 37770552 PMCID: PMC10539404 DOI: 10.1038/s42003-023-05378-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 09/20/2023] [Indexed: 09/30/2023] Open
Abstract
Dynamic full-field optical coherence tomography (D-FFOCT) has recently emerged as a label-free imaging tool, capable of resolving cell types and organelles within 3D live samples, whilst monitoring their activity at tens of milliseconds resolution. Here, a D-FFOCT module design is presented which can be coupled to a commercial microscope with a stage top incubator, allowing non-invasive label-free longitudinal imaging over periods of minutes to weeks on the same sample. Long term volumetric imaging on human induced pluripotent stem cell-derived retinal organoids is demonstrated, highlighting tissue and cell organization processes such as rosette formation and mitosis as well as cell shape and motility. Imaging on retinal explants highlights single 3D cone and rod structures. An optimal workflow for data acquisition, postprocessing and saving is demonstrated, resulting in a time gain factor of 10 compared to prior state of the art. Finally, a method to increase D-FFOCT signal-to-noise ratio is demonstrated, allowing rapid organoid screening.
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Affiliation(s)
- Tual Monfort
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France
- CHNO des Quinze-Vingts, INSERM-DGOS CIC 1423, 28 rue de Charenton, F-75012, Paris, France
- Paris Eye Imaging Group, Quinze-Vingts National Eye Hospital, INSERM-DGOS, CIC 1423, 28 rue de Charenton, Paris, 75012, France
| | - Salvatore Azzollini
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France
| | - Jérémy Brogard
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France
| | - Marilou Clémençon
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France
| | - Amélie Slembrouck-Brec
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France
| | - Valerie Forster
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France
| | - Serge Picaud
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France
| | - Olivier Goureau
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France
| | - Sacha Reichman
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France
| | - Olivier Thouvenin
- Institut Langevin, ESPCI Paris, Université PSL, CNRS, 75005, Paris, France
| | - Kate Grieve
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France.
- CHNO des Quinze-Vingts, INSERM-DGOS CIC 1423, 28 rue de Charenton, F-75012, Paris, France.
- Paris Eye Imaging Group, Quinze-Vingts National Eye Hospital, INSERM-DGOS, CIC 1423, 28 rue de Charenton, Paris, 75012, France.
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5
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Corallo D, Dalla Vecchia M, Lazic D, Taschner-Mandl S, Biffi A, Aveic S. The molecular basis of tumor metastasis and current approaches to decode targeted migration-promoting events in pediatric neuroblastoma. Biochem Pharmacol 2023; 215:115696. [PMID: 37481138 DOI: 10.1016/j.bcp.2023.115696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 07/12/2023] [Accepted: 07/12/2023] [Indexed: 07/24/2023]
Abstract
Cell motility is a crucial biological process that plays a critical role in the development of multicellular organisms and is essential for tissue formation and regeneration. However, uncontrolled cell motility can lead to the development of various diseases, including neoplasms. In this review, we discuss recent advances in the discovery of regulatory mechanisms underlying the metastatic spread of neuroblastoma, a solid pediatric tumor that originates in the embryonic migratory cells of the neural crest. The highly motile phenotype of metastatic neuroblastoma cells requires targeting of intracellular and extracellular processes, that, if affected, would be helpful for the treatment of high-risk patients with neuroblastoma, for whom current therapies remain inadequate. Development of new potentially migration-inhibiting compounds and standardized preclinical approaches for the selection of anti-metastatic drugs in neuroblastoma will also be discussed.
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Affiliation(s)
- Diana Corallo
- Laboratory of Target Discovery and Biology of Neuroblastoma, Istituto di Ricerca Pediatrica (IRP), Fondazione Città della Speranza, 35127 Padova, Italy
| | - Marco Dalla Vecchia
- Laboratory of Target Discovery and Biology of Neuroblastoma, Istituto di Ricerca Pediatrica (IRP), Fondazione Città della Speranza, 35127 Padova, Italy
| | - Daria Lazic
- St. Anna Children's Cancer Research Institute, CCRI, Zimmermannplatz 10, 1090, Vienna, Austria
| | - Sabine Taschner-Mandl
- St. Anna Children's Cancer Research Institute, CCRI, Zimmermannplatz 10, 1090, Vienna, Austria
| | - Alessandra Biffi
- Pediatric Hematology, Oncology and Stem Cell Transplant Division, Woman's and Child Health Department, University of Padova, 35121 Padova, Italy
| | - Sanja Aveic
- Laboratory of Target Discovery and Biology of Neuroblastoma, Istituto di Ricerca Pediatrica (IRP), Fondazione Città della Speranza, 35127 Padova, Italy.
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6
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Bénéfice M, Gorlas A, Marthy B, Da Cunha V, Forterre P, Sentenac A, Chaumet PC, Baffou G. Dry mass photometry of single bacteria using quantitative wavefront microscopy. Biophys J 2023; 122:3159-3172. [PMID: 37393431 PMCID: PMC10432216 DOI: 10.1016/j.bpj.2023.06.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 06/08/2023] [Accepted: 06/26/2023] [Indexed: 07/03/2023] Open
Abstract
Quantitative phase microscopy (QPM) represents a noninvasive alternative to fluorescence microscopy for cell observation with high contrast and for the quantitative measurement of dry mass (DM) and growth rate at the single-cell level. While DM measurements using QPM have been widely conducted on mammalian cells, bacteria have been less investigated, presumably due to the high resolution and high sensitivity required by their smaller size. This article demonstrates the use of cross-grating wavefront microscopy, a high-resolution and high-sensitivity QPM, for accurate DM measurement and monitoring of single microorganisms (bacteria and archaea). The article covers strategies for overcoming light diffraction and sample focusing, and introduces the concepts of normalized optical volume and optical polarizability (OP) to gain additional information beyond DM. The algorithms for DM, optical volume, and OP measurements are illustrated through two case studies: monitoring DM evolution in a microscale colony-forming unit as a function of temperature, and using OP as a potential species-specific signature.
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Affiliation(s)
- Maëlle Bénéfice
- Institut Fresnel, CNRS, Aix Marseille University, Centrale Marseille, Marseille, France
| | - Aurore Gorlas
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France
| | - Baptiste Marthy
- Institut Fresnel, CNRS, Aix Marseille University, Centrale Marseille, Marseille, France
| | - Violette Da Cunha
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France
| | - Patrick Forterre
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France; Département de Microbiologie, Institut Pasteur, Paris, France
| | - Anne Sentenac
- Institut Fresnel, CNRS, Aix Marseille University, Centrale Marseille, Marseille, France
| | - Patrick C Chaumet
- Institut Fresnel, CNRS, Aix Marseille University, Centrale Marseille, Marseille, France
| | - Guillaume Baffou
- Institut Fresnel, CNRS, Aix Marseille University, Centrale Marseille, Marseille, France.
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7
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Monfort T, Azzollini S, Ben Yacoub T, Audo I, Reichman S, Grieve K, Thouvenin O. Interface self-referenced dynamic full-field optical coherence tomography. BIOMEDICAL OPTICS EXPRESS 2023; 14:3491-3505. [PMID: 37497503 PMCID: PMC10368024 DOI: 10.1364/boe.488663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 06/02/2023] [Accepted: 06/07/2023] [Indexed: 07/28/2023]
Abstract
Dynamic full-field optical coherence tomography (D-FFOCT) has recently emerged as an invaluable live label-free and non-invasive imaging modality able to image subcellular biological structures and their metabolic activity within complex 3D samples. However, D-FFOCT suffers from fringe artefacts when imaging near reflective surfaces and is highly sensitive to vibrations. Here, we present interface Self-Referenced (iSR) D-FFOCT, an alternative configuration to D-FFOCT that takes advantage of the presence of the sample coverslip in between the sample and the objective by using it as a defocused reference arm, thus avoiding the aforementioned artefacts. We demonstrate the ability of iSR D-FFOCT to image 2D fibroblast cell cultures, which are among the flattest mammalian cells.
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Affiliation(s)
- Tual Monfort
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012 Paris, France
- CHNO des Quinze-Vingts, INSERM-DGOS CIC 1423, 28 rue de Charenton, F-75012 Paris, France
| | - Salvatore Azzollini
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012 Paris, France
| | - Tasnim Ben Yacoub
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012 Paris, France
| | - Isabelle Audo
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012 Paris, France
| | - Sacha Reichman
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012 Paris, France
| | - Kate Grieve
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012 Paris, France
- CHNO des Quinze-Vingts, INSERM-DGOS CIC 1423, 28 rue de Charenton, F-75012 Paris, France
| | - Olivier Thouvenin
- Institut Langevin, ESPCI Paris, Université PSL, CNRS, 75005 Paris, France
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8
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Deng Y, Tay HM, Zhou Y, Fei X, Tang X, Nishikawa M, Yatomi Y, Hou HW, Xiao TH, Goda K. Studying the efficacy of antiplatelet drugs on atherosclerosis by optofluidic imaging on a chip. LAB ON A CHIP 2023; 23:410-420. [PMID: 36511820 DOI: 10.1039/d2lc00895e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Vascular stenosis caused by atherosclerosis instigates activation and aggregation of platelets, eventually resulting in thrombus formation. Although antiplatelet drugs are commonly used to inhibit platelet activation and aggregation, they unfortunately cannot prevent recurrent thrombotic events in patients with atherosclerosis. This is partially due to the limited understanding of the efficacy of antiplatelet drugs in the complex hemodynamic environment of vascular stenosis. Conventional methods for evaluating the efficacy of antiplatelet drugs under stenosis either fail to simulate the hemodynamic environment of vascular stenosis characterized by high shear stress and recirculatory flow or lack spatial resolution in their analytical techniques to statistically identify and characterize platelet aggregates. Here we propose and experimentally demonstrate a method comprising an in vitro 3D stenosis microfluidic chip and an optical time-stretch quantitative phase imaging system for studying the efficacy of antiplatelet drugs under stenosis. Our method simulates the atherogenic flow environment of vascular stenosis while enabling high-resolution and statistical analysis of platelet aggregates. Using our method, we distinguished the efficacy of three antiplatelet drugs, acetylsalicylic acid (ASA), cangrelor, and eptifibatide, for inhibiting platelet aggregation induced by stenosis. Specifically, ASA failed to inhibit stenosis-induced platelet aggregation, while eptifibatide and cangrelor showed high and moderate efficacy, respectively. Furthermore, we demonstrated that the drugs tested also differed in their efficacy for inhibiting platelet aggregation synergistically induced by stenosis and agonists (e.g., adenosine diphosphate, and collagen). Taken together, our method is an effective tool for investigating the efficacy of antiplatelet drugs under vascular stenosis, which could assist the development of optimal pharmacologic strategies for patients with atherosclerosis.
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Affiliation(s)
- Yunjie Deng
- Department of Chemistry, University of Tokyo, Tokyo, 113-0033, Japan.
| | - Hui Min Tay
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - Yuqi Zhou
- Department of Chemistry, University of Tokyo, Tokyo, 113-0033, Japan.
| | - Xueer Fei
- Department of Chemistry, University of Tokyo, Tokyo, 113-0033, Japan.
| | - Xuke Tang
- Department of Chemistry, University of Tokyo, Tokyo, 113-0033, Japan.
| | - Masako Nishikawa
- Department of Clinical Laboratory Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, 113-0033, Japan
| | - Yutaka Yatomi
- Department of Clinical Laboratory Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, 113-0033, Japan
| | - Han Wei Hou
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 639798, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore
| | - Ting-Hui Xiao
- Department of Chemistry, University of Tokyo, Tokyo, 113-0033, Japan.
| | - Keisuke Goda
- Department of Chemistry, University of Tokyo, Tokyo, 113-0033, Japan.
- Institute of Technological Sciences, Wuhan University, Hubei, 430072, China
- Department of Bioengineering, University of California, Los Angeles, California, 90095, USA
- CYBO, Tokyo 101-0022, Japan
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9
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Durdevic L, Relaño Ginés A, Roueff A, Blivet G, Baffou G. Biomass measurements of single neurites in vitro using optical wavefront microscopy. BIOMEDICAL OPTICS EXPRESS 2022; 13:6550-6560. [PMID: 36589583 PMCID: PMC9774852 DOI: 10.1364/boe.471284] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 10/05/2022] [Accepted: 10/25/2022] [Indexed: 06/17/2023]
Abstract
Quantitative phase microscopies (QPMs) enable label-free, non-invasive observation of living cells in culture, for arbitrarily long periods of time. One of the main benefits of QPMs compared with fluorescence microscopy is the possibility to measure the dry mass of individual cells or organelles. While QPM dry mass measurements on neural cells have been reported this last decade, dry mass measurements on their neurites has been very little addressed. Because neurites are tenuous objects, they are difficult to precisely characterize and segment using most QPMs. In this article, we use cross-grating wavefront microscopy (CGM), a high-resolution wavefront imaging technique, to measure the dry mass of individual neurites of primary neurons in vitro. CGM is based on the simple association of a cross-grating positioned in front of a camera, and can detect wavefront distortions smaller than a hydrogen atom (∼0.1 nm). In this article, an algorithm for dry-mass measurement of neurites from CGM images is detailed and provided. With objects as small as neurites, we highlight the importance of dealing with the diffraction rings for proper image segmentation and accurate biomass measurements. The high precision of the measurements we obtain using CGM and this semi-manual algorithm enabled us to detect periodic oscillations of neurites never observed before, demonstrating the sufficient degree of accuracy of CGM to capture the cell dynamics at the single neurite level, with a typical precision of 2%, i.e., 0.08 pg in most cases, down to a few fg for the smallest objects.
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Affiliation(s)
- Ljiljana Durdevic
- Institut Fresnel, CNRS, Aix Marseille Univ, Centrale Marseille, Marseille, France
- REGEnLIFE, Montpellier, France
| | | | - Antoine Roueff
- Institut Fresnel, CNRS, Aix Marseille Univ, Centrale Marseille, Marseille, France
| | | | - Guillaume Baffou
- Institut Fresnel, CNRS, Aix Marseille Univ, Centrale Marseille, Marseille, France
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10
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Mirecki B, Rogalski M, Arcab P, Rogujski P, Stanaszek L, Józwik M, Trusiak M. Low-intensity illumination for lensless digital holographic microscopy with minimized sample interaction. BIOMEDICAL OPTICS EXPRESS 2022; 13:5667-5682. [PMID: 36733749 PMCID: PMC9872902 DOI: 10.1364/boe.464367] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/17/2022] [Accepted: 08/18/2022] [Indexed: 06/18/2023]
Abstract
Exposure to laser light alters cell culture examination via optical microscopic imaging techniques based on label-free coherent digital holography. To mitigate this detrimental feature, researchers tend to use a broader spectrum and lower intensity of illumination, which can decrease the quality of holographic imaging due to lower resolution and higher noise. We study the lensless digital holographic microscopy (LDHM) ability to operate in the low photon budget (LPB) regime to enable imaging of unimpaired live cells with minimized sample interaction. Low-cost off-the-shelf components are used, promoting the usability of such a straightforward approach. We show that recording data in the LPB regime (down to 7 µW of illumination power) does not limit the contrast or resolution of the hologram phase and amplitude reconstruction compared to regular illumination. The LPB generates hardware camera shot noise, however, to be effectively minimized via numerical denoising. The ability to obtain high-quality, high-resolution optical complex field reconstruction was confirmed using the USAF 1951 amplitude sample, phase resolution test target, and finally, live glial restricted progenitor cells (as a challenging strongly absorbing and scattering biomedical sample). The proposed approach based on severely limiting the photon budget in lensless holographic microscopy method can open new avenues in high-throughout (optimal resolution, large field-of-view, and high signal-to-noise-ratio single-hologram reconstruction) cell culture imaging with minimized sample interaction.
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Affiliation(s)
- Bartosz Mirecki
- Warsaw University of Technology, Institute of Micromechanics and Photonics, 8 Sw. A. Boboli St., 02-525 Warsaw, Poland
- Authors contributed equally to this work
| | - Mikołaj Rogalski
- Warsaw University of Technology, Institute of Micromechanics and Photonics, 8 Sw. A. Boboli St., 02-525 Warsaw, Poland
- Authors contributed equally to this work
| | - Piotr Arcab
- Warsaw University of Technology, Institute of Micromechanics and Photonics, 8 Sw. A. Boboli St., 02-525 Warsaw, Poland
- Authors contributed equally to this work
| | - Piotr Rogujski
- NeuroRepair Department, Mossakowski Medical Research Institute, Polish Academy of Sciences, 5 Adolfa Pawinskiego St., 02-106 Warsaw, Poland
| | - Luiza Stanaszek
- NeuroRepair Department, Mossakowski Medical Research Institute, Polish Academy of Sciences, 5 Adolfa Pawinskiego St., 02-106 Warsaw, Poland
| | - Michał Józwik
- Warsaw University of Technology, Institute of Micromechanics and Photonics, 8 Sw. A. Boboli St., 02-525 Warsaw, Poland
| | - Maciej Trusiak
- Warsaw University of Technology, Institute of Micromechanics and Photonics, 8 Sw. A. Boboli St., 02-525 Warsaw, Poland
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Nguyen TL, Pradeep S, Judson-Torres RL, Reed J, Teitell MA, Zangle TA. Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine. ACS NANO 2022; 16:11516-11544. [PMID: 35916417 PMCID: PMC10112851 DOI: 10.1021/acsnano.1c11507] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Quantitative phase imaging (QPI) is a label-free, wide-field microscopy approach with significant opportunities for biomedical applications. QPI uses the natural phase shift of light as it passes through a transparent object, such as a mammalian cell, to quantify biomass distribution and spatial and temporal changes in biomass. Reported in cell studies more than 60 years ago, ongoing advances in QPI hardware and software are leading to numerous applications in biology, with a dramatic expansion in utility over the past two decades. Today, investigations of cell size, morphology, behavior, cellular viscoelasticity, drug efficacy, biomass accumulation and turnover, and transport mechanics are supporting studies of development, physiology, neural activity, cancer, and additional physiological processes and diseases. Here, we review the field of QPI in biology starting with underlying principles, followed by a discussion of technical approaches currently available or being developed, and end with an examination of the breadth of applications in use or under development. We comment on strengths and shortcomings for the deployment of QPI in key biomedical contexts and conclude with emerging challenges and opportunities based on combining QPI with other methodologies that expand the scope and utility of QPI even further.
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Polanco ER, Moustafa TE, Butterfield A, Scherer SD, Cortes-Sanchez E, Bodily T, Spike BT, Welm BE, Bernard PS, Zangle TA. Multiparametric quantitative phase imaging for real-time, single cell, drug screening in breast cancer. Commun Biol 2022; 5:794. [PMID: 35941353 PMCID: PMC9360018 DOI: 10.1038/s42003-022-03759-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 07/22/2022] [Indexed: 11/09/2022] Open
Abstract
Quantitative phase imaging (QPI) measures the growth rate of individual cells by quantifying changes in mass versus time. Here, we use the breast cancer cell lines MCF-7, BT-474, and MDA-MB-231 to validate QPI as a multiparametric approach for determining response to single-agent therapies. Our method allows for rapid determination of drug sensitivity, cytotoxicity, heterogeneity, and time of response for up to 100,000 individual cells or small clusters in a single experiment. We find that QPI EC50 values are concordant with CellTiter-Glo (CTG), a gold standard metabolic endpoint assay. In addition, we apply multiparametric QPI to characterize cytostatic/cytotoxic and rapid/slow responses and track the emergence of resistant subpopulations. Thus, QPI reveals dynamic changes in response heterogeneity in addition to average population responses, a key advantage over endpoint viability or metabolic assays. Overall, multiparametric QPI reveals a rich picture of cell growth by capturing the dynamics of single-cell responses to candidate therapies.
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Affiliation(s)
- Edward R Polanco
- Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA
| | - Tarek E Moustafa
- Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA
| | - Andrew Butterfield
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Oncological Sciences, University of Utah, Salt Lake City, UT, USA
| | - Sandra D Scherer
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Oncological Sciences, University of Utah, Salt Lake City, UT, USA
| | - Emilio Cortes-Sanchez
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Oncological Sciences, University of Utah, Salt Lake City, UT, USA
| | - Tyler Bodily
- Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA
| | - Benjamin T Spike
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Oncological Sciences, University of Utah, Salt Lake City, UT, USA
| | - Bryan E Welm
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Surgery, University of Utah, Salt Lake City, UT, USA
| | - Philip S Bernard
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Pathology, University of Utah, Salt Lake City, UT, USA.,ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, USA
| | - Thomas A Zangle
- Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA. .,Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
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Casteleiro Costa P, Wang B, Filan C, Bowles-Welch A, Yeago C, Roy K, Robles FE. Functional imaging with dynamic quantitative oblique back-illumination microscopy. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:066502. [PMID: 35773755 PMCID: PMC9243522 DOI: 10.1117/1.jbo.27.6.066502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 06/14/2022] [Indexed: 06/15/2023]
Abstract
SIGNIFICANCE Quantitative oblique back-illumination microscopy (qOBM) is a recently developed label-free imaging technique that enables 3D quantitative phase imaging of thick scattering samples with epi-illumination. Here, we propose dynamic qOBM to achieve functional imaging based on subcellular dynamics, potentially indicative of metabolic activity. We show the potential utility of this novel technique by imaging adherent mesenchymal stromal cells (MSCs) grown in bioreactors, which can help address important unmet needs in cell manufacturing for therapeutics. AIM We aim to develop dynamic qOBM and demonstrate its potential for functional imaging based on cellular and subcellular dynamics. APPROACH To obtain functional images with dynamic qOBM, a sample is imaged over a period of time and its temporal signals are analyzed. The dynamic signals display an exponential frequency response that can be analyzed with phasor analysis. Functional images of the dynamic signatures are obtained by mapping the frequency dynamic response to phasor space and color-coding clustered signals. RESULTS Functional imaging with dynamic qOBM provides unique information related to subcellular activity. The functional qOBM images of MSCs not only improve conspicuity of cells in complex environments (e.g., porous micro-carriers) but also reveal two distinct cell populations with different dynamic behavior. CONCLUSIONS In this work we present a label-free, fast, and scalable functional imaging approach to study and intuitively display cellular and subcellular dynamics. We further show the potential utility of this novel technique to help monitor adherent MSCs grown in bioreactors, which can help achieve quality-by-design of cell products, a significant unmet need in the field of cell therapeutics. This approach also has great potential for dynamic studies of other thick samples, such as organoids.
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Affiliation(s)
- Paloma Casteleiro Costa
- Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, Georgia, United States
| | - Bryan Wang
- Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States
- Georgia Institute of Technology, Marcus Center for Therapeutic Cell Characterization and Manufacturing, Atlanta, Georgia, United States
| | - Caroline Filan
- Georgia Institute of Technology, Nuclear & Radiological Engineering and Medical Physics Program, Atlanta, Georgia, United States
| | - Annie Bowles-Welch
- Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States
- Georgia Institute of Technology, Marcus Center for Therapeutic Cell Characterization and Manufacturing, Atlanta, Georgia, United States
| | - Carolyn Yeago
- Georgia Institute of Technology, Marcus Center for Therapeutic Cell Characterization and Manufacturing, Atlanta, Georgia, United States
| | - Krishnendu Roy
- Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States
- Georgia Institute of Technology, Marcus Center for Therapeutic Cell Characterization and Manufacturing, Atlanta, Georgia, United States
| | - Francisco E. Robles
- Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, Georgia, United States
- Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States
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Cayuela López A, Gómez-Pedrero JA, Blanco AMO, Sorzano COS. Cell-TypeAnalyzer: A flexible Fiji/ImageJ plugin to classify cells according to user-defined criteria. BIOLOGICAL IMAGING 2022; 2:e5. [PMID: 38510432 PMCID: PMC10951792 DOI: 10.1017/s2633903x22000058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 04/06/2022] [Accepted: 05/08/2022] [Indexed: 03/22/2024]
Abstract
Fluorescence microscopy techniques have experienced a substantial increase in the visualization and analysis of many biological processes in life science. We describe a semiautomated and versatile tool called Cell-TypeAnalyzer to avoid the time-consuming and biased manual classification of cells according to cell types. It consists of an open-source plugin for Fiji or ImageJ to detect and classify cells in 2D images. Our workflow consists of (a) image preprocessing actions, data spatial calibration, and region of interest for analysis; (b) segmentation to isolate cells from background (optionally including user-defined preprocessing steps helping the identification of cells); (c) extraction of features from each cell; (d) filters to select relevant cells; (e) definition of specific criteria to be included in the different cell types; (f) cell classification; and (g) flexible analysis of the results. Our software provides a modular and flexible strategy to perform cell classification through a wizard-like graphical user interface in which the user is intuitively guided through each step of the analysis. This procedure may be applied in batch mode to multiple microscopy files. Once the analysis is set up, it can be automatically and efficiently performed on many images. The plugin does not require any programming skill and can analyze cells in many different acquisition setups.
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Affiliation(s)
| | - José A. Gómez-Pedrero
- Applied Optics Complutense Group, Faculty of Optics and Optometry, University Complutense of Madrid, Madrid, Spain
| | - Ana M. O. Blanco
- Advanced Light Microscopy Unit, National Centre for Biotechnology, Madrid, Spain
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Pognonec P, Gustovic A, Djabari Z, Pourcher T, Barlaud M. Mitotic Index Determination on Live Cells From Label-Free Acquired Quantitative Phase Images Using a Supervised Autoencoder. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2021; 18:2828-2834. [PMID: 34582352 DOI: 10.1109/tcbb.2021.3115876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
This interdisciplinary work focuses on the interest of a new auto-encoder for supervised classification of live cell populations growing in a thermostated imaging station and acquired by a Quantitative Phase Imaging (QPI) camera. This type of camera produces interferograms that have to be processed to extract features derived from quantitative linear retardance and birefringence measurements. QPI is performed on living populations without any manipulation or treatment of the cells. We use the efficient new autoencoder classification method instead of the classical Douglas-Rachford method. Using this new supervised autoencoder, we show that the accuracy of the classification of the cells present in the mitotic phase of the cell cycle is very high using QPI features. This is a very important finding since we demonstrate that it is now possible to very precisely follow cell growth in a non-invasive manner, without any bias. No dye or any kind of markers are necessary for this live monitoring. Any studies requiring analysis of cell growth or cellular response to any treatment could benefit from this new approach by simply monitoring the proportion of cells entering mitosis in the studied cell population.
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