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Snelders M, Koedijk IH, Schirmer J, Mulleners O, van Leeuwen J, de Wagenaar NP, Bartulos O, Voskamp P, Braam S, Guttenberg Z, Danser AJ, Majoor-Krakauer D, Meijering E, van der Pluijm I, Essers J. Contraction pressure analysis using optical imaging in normal and MYBPC3-mutated hiPSC-derived cardiomyocytes grown on matrices with tunable stiffness. BIOMATERIALS AND BIOSYSTEMS 2022; 8:100068. [PMID: 36824378 PMCID: PMC9934435 DOI: 10.1016/j.bbiosy.2022.100068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 09/09/2022] [Accepted: 10/15/2022] [Indexed: 12/04/2022] Open
Abstract
Current in vivo disease models and analysis methods for cardiac drug development have been insufficient in providing accurate and reliable predictions of drug efficacy and safety. Here, we propose a custom optical flow-based analysis method to quantitatively measure recordings of contracting cardiomyocytes on polydimethylsiloxane (PDMS), compatible with medium-throughput systems. Movement of the PDMS was examined by covalently bound fluorescent beads on the PDMS surface, differences caused by increased substrate stiffness were compared, and cells were stimulated with β-agonist. We further validated the system using cardiomyocytes treated with endothelin-1 and compared their contractions against control and cells incubated with receptor antagonist bosentan. After validation we examined two MYBPC3-mutant patient-derived cell lines. Recordings showed that higher substrate stiffness resulted in higher contractile pressure, while beating frequency remained similar to control. β-agonist stimulation resulted in both higher beating frequency as well as higher pressure values during contraction and relaxation. Cells treated with endothelin-1 showed an increased beating frequency, but a lower contraction pressure. Cells treated with both endothelin-1 and bosentan remained at control level of beating frequency and pressure. Lastly, both MYBPC3-mutant lines showed a higher beating frequency and lower contraction pressure. Our validated method is capable of automatically quantifying contraction of hiPSC-derived cardiomyocytes on a PDMS substrate of known shear modulus, returning an absolute value. Our method could have major benefits in a medium-throughput setting.
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Affiliation(s)
- Matthijs Snelders
- Department of Molecular Genetics, Erasmus MC, Rotterdam, the Netherlands
| | - Iris H. Koedijk
- Department of Molecular Genetics, Erasmus MC, Rotterdam, the Netherlands
| | | | - Otto Mulleners
- Department of Molecular Genetics, Erasmus MC, Rotterdam, the Netherlands
| | | | - Nathalie P. de Wagenaar
- Department of Molecular Genetics, Erasmus MC, Rotterdam, the Netherlands,Department of Cardiology, Erasmus MC, Rotterdam, the Netherlands
| | | | | | | | | | - A.H. Jan Danser
- Department of Internal Medicine - Pharmacology, Erasmus MC, Rotterdam, the Netherlands
| | | | - Erik Meijering
- School of Computer Science and Engineering, University of New South Wales, Sydney, Australia
| | - Ingrid van der Pluijm
- Department of Molecular Genetics, Erasmus MC, Rotterdam, the Netherlands,Department of Vascular Surgery, Erasmus MC, Rotterdam, the Netherlands
| | - Jeroen Essers
- Department of Molecular Genetics, Erasmus MC, Rotterdam, the Netherlands,Department of Vascular Surgery, Erasmus MC, Rotterdam, the Netherlands,Department of Radiotherapy, Erasmus MC, Rotterdam, the Netherlands,Corresponding author: Erasmus Medical Center, Wytemaweg 80, Rotterdam 3015CN, The Netherlands
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Classification of the Acoustics of Loose Gravel. SENSORS 2021; 21:s21144944. [PMID: 34300684 PMCID: PMC8309789 DOI: 10.3390/s21144944] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 11/21/2022]
Abstract
Road condition evaluation is a critical part of gravel road maintenance. One of the assessed parameters is the amount of loose gravel, as this determines the driving quality and safety. Loose gravel can cause tires to slip and the driver to lose control. An expert assesses the road conditions subjectively by looking at images and notes. This method is labor-intensive and subject to error in judgment; therefore, its reliability is questionable. Road management agencies look for automated and objective measurement systems. In this study, acoustic data on gravel hitting the bottom of a car was used. The connection between the acoustics and the condition of loose gravel on gravel roads was assessed. Traditional supervised learning algorithms and convolution neural network (CNN) were applied, and their performances are compared for the classification of loose gravel acoustics. The advantage of using a pre-trained CNN is that it selects relevant features for training. In addition, pre-trained networks offer the advantage of not requiring days of training or colossal training data. In supervised learning, the accuracy of the ensemble bagged tree algorithm for gravel and non-gravel sound classification was found to be 97.5%, whereas, in the case of deep learning, pre-trained network GoogLeNet accuracy was 97.91% for classifying spectrogram images of the gravel sounds.
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Shiwarski DJ, Tashman JW, Tsamis A, Bliley JM, Blundon MA, Aranda-Michel E, Jallerat Q, Szymanski JM, McCartney BM, Feinberg AW. Fibronectin-based nanomechanical biosensors to map 3D surface strains in live cells and tissue. Nat Commun 2020; 11:5883. [PMID: 33208732 PMCID: PMC7675982 DOI: 10.1038/s41467-020-19659-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 10/19/2020] [Indexed: 01/07/2023] Open
Abstract
Mechanical forces are integral to cellular migration, differentiation and tissue morphogenesis; however, it has proved challenging to directly measure strain at high spatial resolution with minimal perturbation in living sytems. Here, we fabricate, calibrate, and test a fibronectin (FN)-based nanomechanical biosensor (NMBS) that can be applied to the surface of cells and tissues to measure the magnitude, direction, and strain dynamics from subcellular to tissue length-scales. The NMBS is a fluorescently-labeled, ultra-thin FN lattice-mesh with spatial resolution tailored by adjusting the width and spacing of the lattice from 2-100 µm. Time-lapse 3D confocal imaging of the NMBS demonstrates 2D and 3D surface strain tracking during mechanical deformation of known materials and is validated with finite element modeling. Analysis of the NMBS applied to single cells, cell monolayers, and Drosophila ovarioles highlights the NMBS's ability to dynamically track microscopic tensile and compressive strains across diverse biological systems where forces guide structure and function.
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Affiliation(s)
- Daniel J Shiwarski
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Joshua W Tashman
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Alkiviadis Tsamis
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Jaci M Bliley
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Malachi A Blundon
- Department of Biology, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Edgar Aranda-Michel
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Quentin Jallerat
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - John M Szymanski
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Brooke M McCartney
- Department of Biology, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Adam W Feinberg
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
- Department of Materials Science & Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
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Mao M, He J, Li Z, Han K, Li D. Multi-directional cellular alignment in 3D guided by electrohydrodynamically-printed microlattices. Acta Biomater 2020; 101:141-151. [PMID: 31669696 DOI: 10.1016/j.actbio.2019.10.028] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Revised: 10/20/2019] [Accepted: 10/22/2019] [Indexed: 01/30/2023]
Abstract
Recapitulating aligned cellular architectures of native tissues in vitro is important to engineer artificial tissue analogs with desired biological functions. Here a novel strategy is presented to direct three-dimensional (3D) cellular alignment by embedding cell/collagen hydrogel into the predefined electrohydrodynamically-printed microlattices. The cell/collagen hydrogel, originally filled within the printed microlattices uniformly, was found to gradually develop into densely-populated and highly-aligned bands along the longitudinal direction of the printed microlattices. The cellular alignment was highly dependent on the height, spacing and orientation of the microlattices. The presented method was applicable to multiple cell types including primary cardiomyocytes and the gaps formed between the aligned bands and the lateral walls of the microlattice facilitated the subsequent seeding and rapid alignment of other cell types which enables to engineer anisotropic multicellular tissue constructs. The engineered cardiac patches expressed mature cardiomyocyte-specific phenotypes and exhibited synchronous contractive activities. Multilayer cellular alignment with varied orientation in 3D collagen hydrogel was successfully achieved by using electrohydrodynamically-printed microlattices with layer-specific orientations. This exploration offers a promising way to engineer complex 3D tissue constructs with predefined cellular alignments. STATEMENT OF SIGNIFICANCE: Fabrication of biomimetic highly-aligned complex cellular architectures has a great significance to recapitulate the unique mechanical and physiological functions of the engineered tissues (e.g., heart tissue, neuron, muscle). Here, we introduced a novel strategy to direct 3D cellular alignment by embedding cell/collagen hydrogel into the predefined electrohydrodynamically-printed microlattices without any external stimuli. The microscopical study of the dynamic alignment process of cells and collagen fibers contributed to exploring the mechanism of autonomous formation of highly-aligned cellular bands. Multilayer cellular alignment with varied orientation in 3D collagen hydrogel was successfully achieved by using the microlattices with layer-specific orientations, which showed a promising way to engineer complex 3D tissue constructs with predefined cellular alignments.
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