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Ogut MG, Ma P, Gupta R, Hoerner CR, Fan AC, El-Kaffas AN, Durmus NG. Automated Image Analysis for Characterization of Circulating Tumor Cells and Clusters Sorted by Magnetic Levitation. Adv Biol (Weinh) 2023; 7:e2300109. [PMID: 37462226 DOI: 10.1002/adbi.202300109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/05/2023] [Indexed: 10/24/2023]
Abstract
Magnetic levitation-based sorting technologies have revolutionized the detection and isolation of rare cells, including circulating tumor cells (CTCs) and circulating tumor cell clusters (CTCCs). Manual counting and quantification of these cells are prone to time-consuming processes, human error, and inter-observer variability, particularly challenging when heterogeneous cell types in 3D clusters are present. To overcome these challenges, we developed "Fastcount," an in-house MATLAB-based algorithm for precise, automated quantification and phenotypic characterization of CTCs and CTCCs, in both 2D and 3D. Fastcount is 120 times faster than manual counting and produces reliable results with a ±7.3% deviation compared to a trained laboratory technician. By analyzing 400 GB of fluorescence imaging data, we showed that Fastcount outperforms manual counting and commercial software when cells are aggregated in 3D or staining artifacts are present, delivering more accurate results. We further employed Fastcount for automated analysis of 3D image stacks obtained from CTCCs isolated from colorectal adenocarcinoma and renal cell carcinoma blood samples. Interestingly, we observed a highly heterogeneous spatial cellular composition within CTCCs, even among clusters from the same patient. Overall, Fastcount can be employed for various applications with lab-chip devices, such as CTC detection, CTCC analysis in 3D and cell detection in biosensors.
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Affiliation(s)
- Mehmet Giray Ogut
- Canary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, 94304, USA
- School of Engineering, Stanford University, Stanford, CA, 94305, USA
| | - Peng Ma
- Canary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, 94304, USA
| | - Rakhi Gupta
- Canary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, 94304, USA
| | - Christian R Hoerner
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Alice C Fan
- Canary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, 94304, USA
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ahmed Nagy El-Kaffas
- Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Palo Alto, CA, 94305, USA
| | - Naside Gozde Durmus
- Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Palo Alto, CA, 94305, USA
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Hu H, Krishaa L, Fong ELS. Magnetic force-based cell manipulation for in vitro tissue engineering. APL Bioeng 2023; 7:031504. [PMID: 37736016 PMCID: PMC10511261 DOI: 10.1063/5.0138732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 08/22/2023] [Indexed: 09/23/2023] Open
Abstract
Cell manipulation techniques such as those based on three-dimensional (3D) bioprinting and microfluidic systems have recently been developed to reconstruct complex 3D tissue structures in vitro. Compared to these technologies, magnetic force-based cell manipulation is a simpler, scaffold- and label-free method that minimally affects cell viability and can rapidly manipulate cells into 3D tissue constructs. As such, there is increasing interest in leveraging this technology for cell assembly in tissue engineering. Cell manipulation using magnetic forces primarily involves two key approaches. The first method, positive magnetophoresis, uses magnetic nanoparticles (MNPs) which are either attached to the cell surface or integrated within the cell. These MNPs enable the deliberate positioning of cells into designated configurations when an external magnetic field is applied. The second method, known as negative magnetophoresis, manipulates diamagnetic entities, such as cells, in a paramagnetic environment using an external magnetic field. Unlike the first method, this technique does not require the use of MNPs for cell manipulation. Instead, it leverages the magnetic field and the motion of paramagnetic agents like paramagnetic salts (Gadobutrol, MnCl2, etc.) to propel cells toward the field minimum, resulting in the assembly of cells into the desired geometrical arrangement. In this Review, we will first describe the major approaches used to assemble cells in vitro-3D bioprinting and microfluidics-based platforms-and then discuss the use of magnetic forces for cell manipulation. Finally, we will highlight recent research in which these magnetic force-based approaches have been applied and outline challenges to mature this technology for in vitro tissue engineering.
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Affiliation(s)
- Huiqian Hu
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore
| | - L. Krishaa
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore
| | - Eliza Li Shan Fong
- Present address: Translational Tumor Engineering Laboratory, 15 Kent Ridge Cres, E7, 06-01G, Singapore 119276, Singapore. Author to whom correspondence should be addressed:
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Ashkarran AA, Gharibi H, Zeki DA, Radu I, Khalighinejad F, Keyhanian K, Abrahamsson CK, Ionete C, Saei AA, Mahmoudi M. Multi-omics analysis of magnetically levitated plasma biomolecules. Biosens Bioelectron 2023; 220:114862. [PMID: 36403493 PMCID: PMC9750732 DOI: 10.1016/j.bios.2022.114862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 10/12/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022]
Abstract
We recently discovered that superparamagnetic iron oxide nanoparticles (SPIONs) can levitate plasma biomolecules in the magnetic levitation (MagLev) system and cause formation of ellipsoidal biomolecular bands. To better understand the composition of the levitated biomolecules in various bands, we comprehensively characterized them by multi-omics analyses. To probe whether the biomolecular composition of the levitated ellipsoidal bands correlates with the health of plasma donors, we used plasma from individuals who had various types of multiple sclerosis (MS), as a model disease with significant clinical importance. Our findings reveal that, while the composition of proteins does not show much variability, there are significant differences in the lipidome and metabolome profiles of each magnetically levitated ellipsoidal band. By comparing the lipidome and metabolome compositions of various plasma samples, we found that the levitated biomolecular ellipsoidal bands do contain information on the health status of the plasma donors. More specifically, we demonstrate that there are particular lipids and metabolites in various layers of each specific plasma pattern that significantly contribute to the discrimination of different MS subtypes, i.e., relapsing-remitting MS (RRMS), secondary-progressive MS (SPMS), and primary-progressive MS (PPMS). These findings will pave the way for utilization of MagLev of biomolecules in biomarker discovery for identification of diseases and discrimination of their subtypes.
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Affiliation(s)
- Ali Akbar Ashkarran
- Department of Radiology and Precision Health Program, Michigan State University, East Lansing, MI, USA
| | - Hassan Gharibi
- Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE-17 177 Stockholm, Sweden
| | - Dalia Abou Zeki
- Department of Neurology, University of Massachusetts, Worcester, MA, USA
| | - Irina Radu
- Department of Neurology, University of Massachusetts, Worcester, MA, USA
| | | | - Kiandokht Keyhanian
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Carolina Ionete
- Department of Neurology, University of Massachusetts, Worcester, MA, USA,Corresponding authors: (CI) ; (AAS) (MM)
| | - Amir Ata Saei
- Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE-17 177 Stockholm, Sweden,Department of Cell Biology, Harvard Medical School, Boston, MA, USA,Corresponding authors: (CI) ; (AAS) (MM)
| | - Morteza Mahmoudi
- Department of Radiology and Precision Health Program, Michigan State University, East Lansing, MI, USA,Corresponding authors: (CI) ; (AAS) (MM)
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Deshmukh SS, Byaruhanga O, Tumwebaze P, Akin D, Greenhouse B, Egan ES, Demirci U. Automated Recognition of Plasmodium falciparum Parasites from Portable Blood Levitation Imaging. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2105396. [PMID: 35957519 PMCID: PMC9534981 DOI: 10.1002/advs.202105396] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 05/03/2022] [Indexed: 06/15/2023]
Abstract
In many malaria-endemic regions, current detection tools are inadequate in diagnostic accuracy and accessibility. To meet the need for direct, phenotypic, and automated malaria parasite detection in field settings, a portable platform to process, image, and analyze whole blood to detect Plasmodium falciparum parasites, is developed. The liberated parasites from lysed red blood cells suspended in a magnetic field are accurately detected using this cellphone-interfaced, battery-operated imaging platform. A validation study is conducted at Ugandan clinics, processing 45 malaria-negative and 36 malaria-positive clinical samples without external infrastructure. Texture and morphology features are extracted from the sample images, and a random forest classifier is trained to assess infection status, achieving 100% sensitivity and 91% specificity against gold-standard measurements (microscopy and polymerase chain reaction), and limit of detection of 31 parasites per µL. This rapid and user-friendly platform enables portable parasite detection and can support malaria diagnostics, surveillance, and research in resource-constrained environments.
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Affiliation(s)
- Shreya S. Deshmukh
- Department of BioengineeringStanford University Schools of Engineering and MedicineStanfordCA94305USA
- Canary Center for Early Cancer DetectionBioacoustic MEMS in Medicine LabDepartment of RadiologyStanford University School of MedicinePalo AltoCA94305USA
| | | | | | - Demir Akin
- Canary Center for Early Cancer DetectionBioacoustic MEMS in Medicine LabDepartment of RadiologyStanford University School of MedicinePalo AltoCA94305USA
| | - Bryan Greenhouse
- Department of MedicineUniversity of California San FranciscoSan FranciscoCA94110USA
| | - Elizabeth S. Egan
- Department of PediatricsStanford University School of MedicineStanfordCA94305USA
- Department of Microbiology and ImmunologyStanford University School of MedicineStanfordCA94305USA
| | - Utkan Demirci
- Canary Center for Early Cancer DetectionBioacoustic MEMS in Medicine LabDepartment of RadiologyStanford University School of MedicinePalo AltoCA94305USA
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Guimarães CF, Cruz-Moreira D, Caballero D, Pirraco RP, Gasperini L, Kundu SC, Reis RL. Shining a Light on Cancer - Photonics in Microfluidic Tumor Modelling and Biosensing. Adv Healthc Mater 2022:e2201442. [PMID: 35998112 DOI: 10.1002/adhm.202201442] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/03/2022] [Indexed: 11/08/2022]
Abstract
Microfluidic platforms represent a powerful approach to miniaturizing important characteristics of cancers, improving in vitro testing by increasing physiological relevance. Different tools can manipulate cells and materials at the microscale, but few offer the efficiency and versatility of light and optical technologies. Moreover, light-driven technologies englobe a broad toolbox for quantifying critical biological phenomena. Herein, we review the role of photonics in microfluidic 3D cancer modeling and biosensing from three major perspectives. First, we look at optical-driven technologies that allow biomaterials and living cells to be manipulated with micro-sized precision and the opportunities to advance 3D microfluidic models by engineering cancer microenvironments' hallmarks, such as their architecture, cellular complexity, and vascularization. Second, we delve into the growing field of optofluidics, exploring how optical tools can directly interface microfluidic chips, enabling the extraction of relevant biological data, from single fluorescent signals to the complete 3D imaging of diseased cells within microchannels. Third, we review advances in optical cancer biosensing, focusing on how light-matter interactions can detect biomarkers, rare circulating tumor cells, and cell-derived structures such as exosomes. We overview photonic technologies' current challenges and caveats in microfluidic 3D cancer models, outlining future research avenues that may catapult the field. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Carlos F Guimarães
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
| | - Daniela Cruz-Moreira
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
| | - David Caballero
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
| | - Rogério P Pirraco
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
| | - Luca Gasperini
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
| | - Subhas C Kundu
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
| | - Rui L Reis
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
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Abstract
Magnetic cell separation has become a key methodology for the isolation of target cell populations from biological suspensions, covering a wide spectrum of applications from diagnosis and therapy in biomedicine to environmental applications or fundamental research in biology. There now exists a great variety of commercially available separation instruments and reagents, which has permitted rapid dissemination of the technology. However, there is still an increasing demand for new tools and protocols which provide improved selectivity, yield and sensitivity of the separation process while reducing cost and providing a faster response. This review aims to introduce basic principles of magnetic cell separation for the neophyte, while giving an overview of recent research in the field, from the development of new cell labeling strategies to the design of integrated microfluidic cell sorters and of point-of-care platforms combining cell selection, capture, and downstream detection. Finally, we focus on clinical, industrial and environmental applications where magnetic cell separation strategies are amongst the most promising techniques to address the challenges of isolating rare cells.
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Dabbagh SR, Alseed MM, Saadat M, Sitti M, Tasoglu S. Biomedical Applications of Magnetic Levitation. ADVANCED NANOBIOMED RESEARCH 2021. [DOI: 10.1002/anbr.202100103] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Affiliation(s)
- Sajjad Rahmani Dabbagh
- Department of Mechanical Engineering Koç University Sariyer Istanbul Turkey 34450
- Koç University Arçelik Research Center for Creative Industries (KUAR) Koç University Sariyer Istanbul Turkey 34450
| | - M. Munzer Alseed
- Institute of Biomedical Engineering Boğaziçi University Çengelköy Istanbul Turkey 34684
| | - Milad Saadat
- Department of Mechanical Engineering Koç University Sariyer Istanbul Turkey 34450
| | - Metin Sitti
- Department of Mechanical Engineering Koç University Sariyer Istanbul Turkey 34450
- School of Medicine Koç University Istanbul 34450 Turkey
- Physical Intelligence Department Max Planck Institute for Intelligent Systems 70569 Stuttgart Germany
| | - Savas Tasoglu
- Department of Mechanical Engineering Koç University Sariyer Istanbul Turkey 34450
- Koç University Arçelik Research Center for Creative Industries (KUAR) Koç University Sariyer Istanbul Turkey 34450
- Institute of Biomedical Engineering Boğaziçi University Çengelköy Istanbul Turkey 34684
- Physical Intelligence Department Max Planck Institute for Intelligent Systems 70569 Stuttgart Germany
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