Understanding embryonic development requires the characterization of the forces and the mechanical features that shape cells and tissues within the organism. In addition, experimental application of forces on cells and altering cell and organelle shape allows determining the role such forces play in morphogenesis. Here, we present a holographic optical tweezers-based new microscopic platform for in vivo applications in the context of a developing vertebrate embryo that unlike currently used setups allows simultaneous trapping of multiple objects and rapid comparisons of viscoelastic properties in different locations. This non-invasive technique facilitates a dynamic analysis of mechanical properties of cells and tissues without intervening with embryonic development. We demonstrate the application of this platform for manipulating organelle shape and for characterizing the mechanobiological properties of cells in live zebrafish embryos. The method of holographic optical tweezers as described here is of general interest and can be easily transferred to studying a range of developmental processes in zebrafish, thereby establishing a versatile platform for similar investigations in other organisms. Fluorescent beads injected into zebrafish embryos at 1-cell stage are maintained within the embryos and do not affect their development as observed in the presented 1-day old embryo.
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http://dx.doi.org/10.1002/jbio.201600226 | DOI Listing |
Biosensors (Basel)
January 2025
Department of Electronic and Biomedical Engineering, Universitat de Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain.
In recent years, the wine industry has been researching how to improve wine quality along the production value chain. In this scenario, we present here a new tool, MicroVi, a cost-effective chip-sized microscopy solution to detect and count yeast cells in wine samples. We demonstrate that this novel microscopy setup is able to measure the same type of samples as an optical microscopy system, but with smaller size equipment and with automated cell count configuration.
View Article and Find Full Text PDFJ Biomed Opt
January 2025
Tel Aviv University, Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv, Israel.
Significance: Imaging flow cytometry allows highly informative multi-point cell analysis for biological assays and medical diagnosis. Rapid processing of the imaged cells during flow allows real-time classification and sorting of the cells. Off-axis holography enables imaging flow cytometry without chemical cell staining but requires digital processing to the optical path delay profile for each frame before the cells can be classified, which slows down the overall processing throughput.
View Article and Find Full Text PDFBiomed Opt Express
January 2025
Department of Electronic Engineering, Maynooth University, Maynooth, Co. Kildare, Ireland.
Optical diffraction tomography enables label-free, 3D refractive index (RI) imaging of biological samples. We present a novel, cost-effective approach to ODT that employs a modular design incorporating a self-reference holographic capture module. This two-part system consists of an illumination module and a capture module that can be seamlessly integrated with any life-science microscope using an automated alignment protocol.
View Article and Find Full Text PDFBiomed Opt Express
January 2025
Warsaw University of Technology, Institute of Micromechanics and Photonics, 8 Sw. A. Boboli St., 02-525 Warsaw, Poland.
A fair comparison of multiple live cell cultures requires examining them under identical environmental conditions, which can only be done accurately if all cells are prepared simultaneously and studied at the same time and place. This contribution introduces a multiplexed lensless digital holographic microscopy system (MLS), enabling synchronous, label-free, quantitative observation of multiple live cell cultures with single-cell precision. The innovation of this setup lies in its ability to robustly compare the behaviour, i.
View Article and Find Full Text PDFComputer-generated holography (CGH) is an advanced technology for three-dimensional (3D) displays. While the stochastic gradient descent (SGD) method is effective for holographic optimization, its application to holographic video displays is computationally expensive, as each frame requires separate optimization. To address this, we propose a novel, to the best of our knowledge, clustering optimization strategy to accelerate the SGD process for holographic video displays.
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