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1

POPESCU, AUREL I., and CLAUDIA G. CHILOM. "Teaching Biophysics III. Biophysical approach of biomolecular motors." Romanian Reports in Physics 76, no. 2 (2025): 601. https://doi.org/10.59277/romrepphys.2025.77.601.

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This work describes, in an accessible manner, the structures and functions of biomolecular motors. These motors are complex supra macromolecular structures which convert directly chemical energy into mechanical one and vice versa, accomplishing important cellular functions: chromosome migration during mitosis phase of cell cycles, DNA semiconservative duplication, vesicle transportation along filaments and tubules, etc. They can be classified as linear (e.g., actomyosin complex into sarcomeres, DNA helicase and DNA polymerase) and rotary motors (e.g., ATP synthase, prokaryotic flagella), eukar
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2

Tan, Songwen, and Wenhu Zhou. "Biophysics in Membrane of Cells." International Journal of Molecular Sciences 24, no. 16 (2023): 12708. http://dx.doi.org/10.3390/ijms241612708.

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3

Kalashnikov, Nikita, and Christopher Moraes. "Engineering physical microenvironments to study innate immune cell biophysics." APL Bioengineering 6, no. 3 (2022): 031504. http://dx.doi.org/10.1063/5.0098578.

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Innate immunity forms the core of the human body's defense system against infection, injury, and foreign objects. It aims to maintain homeostasis by promoting inflammation and then initiating tissue repair, but it can also lead to disease when dysregulated. Although innate immune cells respond to their physical microenvironment and carry out intrinsically mechanical actions such as migration and phagocytosis, we still do not have a complete biophysical description of innate immunity. Here, we review how engineering tools can be used to study innate immune cell biophysics. We first provide an o
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4

Fujiwara, Kei, Miho Yanagisawa, and Shin-ichiro M. Nomura. "Reconstitution of intracellular environments in vitro and in artificial cells." BIOPHYSICS 10 (2014): 43–48. http://dx.doi.org/10.2142/biophysics.10.43.

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5

Marx, Vivien. "Biophysics: using sound to move cells." Nature Methods 12, no. 1 (2014): 41–44. http://dx.doi.org/10.1038/nmeth.3218.

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6

SURESH, S. "Biomechanics and biophysics of cancer cells☆." Acta Biomaterialia 3, no. 4 (2007): 413–38. http://dx.doi.org/10.1016/j.actbio.2007.04.002.

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7

SURESH, S. "Biomechanics and biophysics of cancer cells☆." Acta Materialia 55, no. 12 (2007): 3989–4014. http://dx.doi.org/10.1016/j.actamat.2007.04.022.

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8

Kajita, Masashi K., Ryo Yokota, Kazuyuki Aihara, and Tetsuya J. Kobayashi. "Experimental and theoretical bases for mechanisms of antigen discrimination by T cells." BIOPHYSICS 11 (2015): 85–92. http://dx.doi.org/10.2142/biophysics.11.85.

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9

AUREL I., POPESCU, and CHILOM CLAUDIA G. "Teaching Biophysics II. Biophysical approach of transport through cellular membranes." Romanian Reports in Physics 76, no. 1 (2024): 602. http://dx.doi.org/10.59277/romrepphys.2024.76.602.

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Cellular metabolism implies a permanent transport through membranes of a great diversity of particles (e.g., ions, molecules, macromolecules, protein vesicles, etc.) in and out of the cells. The transport phenomena can be classified as passive (down the concentration gradients, driven solely by thermal agitation) or active (against the concentration gradients, driven by an energy supply) and selective (i.e., through specific pathways) or nonselective through membrane lipid bilayers. This paper will describe in an accessible manner all the types of membrane transport from a biophysical point of
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10

Connelly, Patrick R. "Recent drug discovery success signals renaissance in biophysics." Biophysics Reviews 3, no. 2 (2022): 020401. http://dx.doi.org/10.1063/5.0099305.

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With a scope that spans the hierarchy of biological organization from molecules and cells to organisms and populations, the discipline of biophysics has been proven to be particularly well suited for connecting the molecular embodiments of human diseases to the medical conditions experienced by patients. Recently, fundamental biophysical research on aberrant proteins involved in maintaining salt and water balance in our lungs, oxygen transport from our lungs to the rest of the body, and the pumping of blood by our hearts have been successfully translated to the creation of transformational new
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11

Kitagawa, Tomoki, Noriaki Murakami та Seido Nagano. "Modeling of the gap junction of pancreatic β-cells and the robustness of insulin secretion". BIOPHYSICS 6 (2010): 37–51. http://dx.doi.org/10.2142/biophysics.6.37.

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12

Ito, Etsuro, Yusuke Ikemoto, and Tohru Yoshioka. "Thermodynamic implications of high Q10 of thermoTRP channels in living cells." BIOPHYSICS 11 (2015): 33–38. http://dx.doi.org/10.2142/biophysics.11.33.

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13

Pielak, Gary. "Understanding Protein & RNA Biophysics in Cells." Biophysical Journal 102, no. 3 (2012): 4a. http://dx.doi.org/10.1016/j.bpj.2011.11.035.

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14

S, El Asri. "The Use of Electrical Impedance Spectroscopy for Medical Application: A Mini Review." Physical Science & Biophysics Journal 7, no. 1 (2023): 1–5. http://dx.doi.org/10.23880/psbj-16000250.

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Electrical impedance spectroscopy (EIS) has emerged as a powerful technique in biophysics, enabling the analysis of biological tissues, cell behavior, and the development of biosensors. By measuring the impedance response of biological systems across a range of frequencies, EIS provides valuable insights into the electrical properties and structural characteristics of tissues and cells. This paper provides an overview of fundamental principles of EIS and the application of impedance spectroscopy in biophysic, highlighting its potential in understanding tissue properties, monitoring cell behavi
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15

Del Favero, Giorgia, and Annette Kraegeloh. "Integrating Biophysics in Toxicology." Cells 9, no. 5 (2020): 1282. http://dx.doi.org/10.3390/cells9051282.

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Integration of biophysical stimulation in test systems is established in diverse branches of biomedical sciences including toxicology. This is largely motivated by the need to create novel experimental setups capable of reproducing more closely in vivo physiological conditions. Indeed, we face the need to increase predictive power and experimental output, albeit reducing the use of animals in toxicity testing. In vivo, mechanical stimulation is essential for cellular homeostasis. In vitro, diverse strategies can be used to model this crucial component. The compliance of the extracellular matri
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16

Tyrrell, Jillian, Kevin M. Weeks, and Gary J. Pielak. "RNA Biophysics in Living Cells using Shape Chemistry." Biophysical Journal 102, no. 3 (2012): 279a. http://dx.doi.org/10.1016/j.bpj.2011.11.1543.

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17

Saha, Rituparna, and Pratap Mukherjee. "The significant role of biophysics in cancer prevention: An overview." EPJ Web of Conferences 325 (2025): 01011. https://doi.org/10.1051/epjconf/202532501011.

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Cancer is a dynamic, multifaceted illness caused by the abnormal growth of cells. The affected cells developed uncontrollably and destroyed various tissues. This deadly disease has become an important health issue worldwide. Current research on the biology and physics of cancer cells is a promising area with high concerns. It helps to improve the understanding of the cellular and molecular factors of cancer treatment. Studies on the biology of cancer cells have provided different types of knowledge on cancer initiation and spread of cancer cells. It also provided advanced treatment of cancer p
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18

McIntosh, J. Richard, Maxim I. Molodtsov, and Fazly I. Ataullakhanov. "Biophysics of mitosis." Quarterly Reviews of Biophysics 45, no. 2 (2012): 147–207. http://dx.doi.org/10.1017/s0033583512000017.

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AbstractMitosis is the process by which eukaryotic cells organize and segregate their chromosomes in preparation for cell division. It is accomplished by a cellular machine composed largely of microtubules (MTs) and their associated proteins. This article reviews literature on mitosis from a biophysical point of view, drawing attention to the assembly and motility processes required to do this complex job with precision. Work from both the recent and the older literature is integrated into a description of relevant biological events and the experiments that probe their mechanisms. Theoretical
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19

Watanabe, Takayuki, and Takeo Kubo. "A new antigenic marker specifically labels a subpopulation of the class II Kenyon cells in the brain of the European honeybee Apis mellifera ." BIOPHYSICS 11 (2015): 73–77. http://dx.doi.org/10.2142/biophysics.11.73.

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20

Szabo, Mate, Bence Cs. Szabo, Kitti Kurtan, et al. "Look Beyond Plasma Membrane Biophysics: Revealing Considerable Variability of the Dipole Potential Between Plasma and Organelle Membranes of Living Cells." International Journal of Molecular Sciences 26, no. 3 (2025): 889. https://doi.org/10.3390/ijms26030889.

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Due to the lack of measurement techniques suitable for examining compartments of intact, living cells, membrane biophysics is almost exclusively investigated in the plasma membrane despite the fact that its alterations in intracellular organelles may also contribute to disease pathogenesis. Here, we employ a novel, easy-to-use, confocal microscopy-based approach utilizing F66, an environment-sensitive fluorophore in combination with fluorescent organelle markers and quantitative image analysis to determine the magnitude of the molecular order-related dipole potential in the plasma membrane and
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21

Loosli, Y., R. Luginbuehl, and J. G. Snedeker. "Cytoskeleton reorganization of spreading cells on micro-patterned islands: a functional model." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368, no. 1920 (2010): 2629–52. http://dx.doi.org/10.1098/rsta.2010.0069.

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Predictive numerical models of cellular response to biophysical cues have emerged as a useful quantitative tool for cell biology research. Cellular experiments in silico can augment in vitro and in vivo investigations by filling gaps in what is possible to achieve through ‘wet work’. Biophysics-based numerical models can be used to verify the plausibility of mechanisms regulating tissue homeostasis derived from experiments. They can also be used to explore potential targets for therapeutic intervention. In this perspective article we introduce a single cell model developed towards the design o
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22

Joshi, Prakash, and Partha Pratim Mondal. "Single-Molecule Clustering for Super-Resolution Optical Fluorescence Microscopy." Photonics 9, no. 1 (2021): 7. http://dx.doi.org/10.3390/photonics9010007.

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Molecular assembly in a complex cellular environment is vital for understanding underlying biological mechanisms. Biophysical parameters (such as single-molecule cluster density, cluster-area, pairwise distance, and number of molecules per cluster) related to molecular clusters directly associate with the physiological state (healthy/diseased) of a cell. Using super-resolution imaging along with powerful clustering methods (K-means, Gaussian mixture, and point clustering), we estimated these critical biophysical parameters associated with dense and sparse molecular clusters. We investigated He
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23

Sprinzak, David, and Stephen C. Blacklow. "Biophysics of Notch Signaling." Annual Review of Biophysics 50, no. 1 (2021): 157–89. http://dx.doi.org/10.1146/annurev-biophys-101920-082204.

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Notch signaling is a conserved system of communication between adjacent cells, influencing numerous cell fate decisions in the development of multicellular organisms. Aberrant signaling is also implicated in many human pathologies. At its core, Notch has a mechanotransduction module that decodes receptor–ligand engagement at the cell surface under force to permit proteolytic cleavage of the receptor, leading to the release of the Notch intracellular domain (NICD). NICD enters the nucleus and acts as a transcriptional effector to regulate expression of Notch-responsive genes. In this article, w
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24

Hagen, Espen, Steinn H. Magnusson, Torbjørn V. Ness, et al. "Brain signal predictions from multi-scale networks using a linearized framework." PLOS Computational Biology 18, no. 8 (2022): e1010353. http://dx.doi.org/10.1371/journal.pcbi.1010353.

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Simulations of neural activity at different levels of detail are ubiquitous in modern neurosciences, aiding the interpretation of experimental data and underlying neural mechanisms at the level of cells and circuits. Extracellular measurements of brain signals reflecting transmembrane currents throughout the neural tissue remain commonplace. The lower frequencies (≲ 300Hz) of measured signals generally stem from synaptic activity driven by recurrent interactions among neural populations and computational models should also incorporate accurate predictions of such signals. Due to limited comput
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25

Wang, Feng-Sheng, Re-Wen Wu, Yu-Shan Chen, Jih-Yang Ko, Holger Jahr, and Wei-Shiung Lian. "Biophysical Modulation of the Mitochondrial Metabolism and Redox in Bone Homeostasis and Osteoporosis: How Biophysics Converts into Bioenergetics." Antioxidants 10, no. 9 (2021): 1394. http://dx.doi.org/10.3390/antiox10091394.

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Bone-forming cells build mineralized microstructure and couple with bone-resorbing cells, harmonizing bone mineral acquisition, and remodeling to maintain bone mass homeostasis. Mitochondrial glycolysis and oxidative phosphorylation pathways together with ROS generation meet the energy requirement for bone-forming cell growth and differentiation, respectively. Moderate mechanical stimulations, such as weight loading, physical activity, ultrasound, vibration, and electromagnetic field stimulation, etc., are advantageous to bone-forming cell activity, promoting bone anabolism to compromise osteo
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26

Hudspeth, A. "The cellular basis of hearing: the biophysics of hair cells." Science 230, no. 4727 (1985): 745–52. http://dx.doi.org/10.1126/science.2414845.

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27

HARADA, Yoshie. "From Molecules to Cells: Learning from Pioneering Experiments in Biophysics." Seibutsu Butsuri 64, no. 4 (2024): 218–19. http://dx.doi.org/10.2142/biophys.64.218.

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28

Ashrafuzzaman, Mohammad, and Jack Tuszynski. "Special Issue on Molecular Biology and Biophysics of Eukaryotic Cells." Saudi Journal of Biological Sciences 22, no. 6 (2015): 665. http://dx.doi.org/10.1016/j.sjbs.2015.05.018.

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29

Shashkova, Sviatlana, and Mark C. Leake. "Systems biophysics: Single-molecule optical proteomics in single living cells." Current Opinion in Systems Biology 7 (February 2018): 26–35. http://dx.doi.org/10.1016/j.coisb.2017.11.006.

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30

Caramelo, Julio J., and Norberto D. Iusem. "When cells lose water: Lessons from biophysics and molecular biology." Progress in Biophysics and Molecular Biology 99, no. 1 (2009): 1–6. http://dx.doi.org/10.1016/j.pbiomolbio.2008.10.001.

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31

Mierke, Claudia Tanja, and Ben Fabry. "Breast Cancer Cells Reduce the Stiffness of Endothelial Cells." Biophysical Journal 98, no. 3 (2010): 731a—732a. http://dx.doi.org/10.1016/j.bpj.2009.12.4010.

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32

Kiemeneij, Wilbert, Lesley de Putter, and Maaike Koopman. "Learning biophysics with open simulations." Physics Education 58, no. 2 (2022): 025006. http://dx.doi.org/10.1088/1361-6552/aca7f6.

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Abstract Physics education in secondary schools can include biophysics topics as electives. An open simulation based on a simulation like Minecraft for learning the workings of the action potential in human cells was designed and tested for students in upper secondary physics education. In small design and test cycles both the simulation engine and the classroom materials were developed. The simulation shows realistic results that go beyond the accompanying textbook. The finished prototype of the engine and the materials were used to study student reasoning during their simulation of the actio
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33

Ernest, Nola Jean, Naomi J. Logsdon, Michael B. McFerrin, Harald Sontheimer, and Susan E. Spiller. "Biophysical Properties of Human Medulloblastoma Cells." Journal of Membrane Biology 237, no. 2-3 (2010): 59–69. http://dx.doi.org/10.1007/s00232-010-9306-x.

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34

Thiyagaraja, Maivizhi, and Irep Gözen. "Thermoresponsive artificial cells." Biophysical Journal 122, no. 3 (2023): 272a. http://dx.doi.org/10.1016/j.bpj.2022.11.1555.

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35

Zeng, Zhu, Weijuan Yao, Xiaofeng Xu, et al. "Hepatocellular Carcinoma Cells Deteriorate the Biophysical Properties of Dendritic Cells." Cell Biochemistry and Biophysics 55, no. 1 (2009): 33–43. http://dx.doi.org/10.1007/s12013-009-9055-6.

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36

Tazawa, Masashi, and Teruo Shimmen. "How characean cells have contributed to the progress of plant membrane biophysics." Functional Plant Biology 28, no. 7 (2001): 523. http://dx.doi.org/10.1071/pp01027.

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Basic knowledge on plant membranes has been greatly indebted to internodal cells of charophytes, which are aquatic cryptogams mostly growing in fresh water and some in brackish water. The huge size of the internodal cell enables us to study water and ion transport in a single cell. Furthermore, the cell can be subjected to various kinds of cell operations such as preparation of cells having abnormal osmotic pressures, effusion of the steaming endoplasm, perfusion of the vacuole with artificial solutions, preparation of tonoplast-free cells and plasma membrane-permeabilised cells. Taking advant
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37

Qian, Yusheng, Pawel A. Osmulski, and Maria Gaczynska. "Cells in motion: model of circulating tumor cells in prostate cancer." Biophysical Journal 121, no. 3 (2022): 417a. http://dx.doi.org/10.1016/j.bpj.2021.11.673.

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38

Gruenberger, C., R. Ritter, F. Aumayr, Herbert Stachelberger, and Ille C. Gebeshuber. "Algal Biophysics: Euglena Gracilis Investigated by Atomic Force Microscopy." Materials Science Forum 555 (September 2007): 411–16. http://dx.doi.org/10.4028/www.scientific.net/msf.555.411.

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Matter produced by organisms is remarkable. Evolutionary optimized properties, e.g. regarding hydrodynamic, aerodynamic, wetting and adhesive behavior, can already be found in the “simplest” forms of organisms. Euglena gracilis, a single-celled algal species, performs tasks as diverse as sensing the environment and reacting to it, converting and storing energy and metabolizing nutrients, living as a plant or an animal, depending on the environmental constraints. We developed a preparation method for atomic force microscopy investigation of dried whole Euglena cells in air and obtained data on
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39

Subbiah, Ramesh, Subramaniyan Ramasundaram, Ping Du, et al. "Evaluation of cytotoxicity, biophysics and biomechanics of cells treated with functionalized hybrid nanomaterials." Journal of The Royal Society Interface 10, no. 88 (2013): 20130694. http://dx.doi.org/10.1098/rsif.2013.0694.

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Hybrids consisting of carboxylated, single-walled carbon nanotube (c-SWNT)–silver nanoparticles (AgNPs)-DNA–poly vinyl alcohol (PVA) are synthesized via sequential functionalization to mimic the theragnostic (therapy and diagnosis) system. Carboxylation of SWNT has minimized the metal impurities with plenty of –COOH groups to produce hybrid (c-SWNT-AgNPs). The hybrid is further wrapped with DNA (hybrid-DNA) and encapsulated with PVA as hybrid composite (HC). Materials were tested against human alveolar epithelial cells (A549), mouse fibroblasts cells (NIH3T3) and human bone marrow stromal cell
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40

ELIZABETH HILLS, CLAIRE, ELEFTHERIOS SIAMANTOURAS, and PAUL EDWARD SQUIRES. "Cell adhesion in renal tubular epithelial cells: Biochemistry, biophysics or both." BIOCELL 46, no. 4 (2022): 937–40. http://dx.doi.org/10.32604/biocell.2022.018414.

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41

Do, Michael Tri H. "Melanopsin and the Intrinsically Photosensitive Retinal Ganglion Cells: Biophysics to Behavior." Neuron 104, no. 2 (2019): 205–26. http://dx.doi.org/10.1016/j.neuron.2019.07.016.

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42

Balasubramanian, Saravana K., Willem F. Wolkers, and John C. Bischof. "Membrane hydration correlates to cellular biophysics during freezing in mammalian cells." Biochimica et Biophysica Acta (BBA) - Biomembranes 1788, no. 5 (2009): 945–53. http://dx.doi.org/10.1016/j.bbamem.2009.02.009.

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43

Pumir, Alain, Georges Romey, and Valentin Krinsky. "Deexcitation of Cardiac Cells." Biophysical Journal 74, no. 6 (1998): 2850–61. http://dx.doi.org/10.1016/s0006-3495(98)77992-5.

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44

Buxboim, Amnon, Shamik Sen, and Dennis E. Discher. "How Deep Cells Feel." Biophysical Journal 98, no. 3 (2010): 732a. http://dx.doi.org/10.1016/j.bpj.2009.12.4013.

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45

Kam, Zvi. "Microscopic imaging of cells." Quarterly Reviews of Biophysics 20, no. 3-4 (1987): 201–59. http://dx.doi.org/10.1017/s0033583500004182.

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The microworld was revealed to investigators through a glass bead or a hanging water droplet long before optics was understood. The cellular structure of plants was well resolved by such simple magnifying glasses, van Leeuwenhoek, the Dutch merchant and amateur microscopist, was the first to report to the English Royal Society his observations of bacteria with his single-lens microscope in 1665.
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46

Gan, Lu, and Grant J. Jensen. "Electron tomography of cells." Quarterly Reviews of Biophysics 45, no. 1 (2011): 27–56. http://dx.doi.org/10.1017/s0033583511000102.

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AbstractThe electron microscope has contributed deep insights into biological structure since its invention nearly 80 years ago. Advances in instrumentation and methodology in recent decades have now enabled electron tomography to become the highest resolution three-dimensional (3D) imaging technique available for unique objects such as cells. Cells can be imaged either plastic-embedded or frozen-hydrated. Then the series of projection images are aligned and back-projected to generate a 3D reconstruction or ‘tomogram’. Here, we review how electron tomography has begun to reveal the molecular o
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Tian, Fang, Tsung-Cheng Lin, Liang Wang, et al. "Different Mechanical Responses to Substrate Stiffness between Cancer Cells and Normal Cells." Biophysical Journal 118, no. 3 (2020): 249a. http://dx.doi.org/10.1016/j.bpj.2019.11.1459.

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48

Wu, Pei-Hsun, Daniele M. Gilkes, and Denis Wirtz. "The Biophysics of 3D Cell Migration." Annual Review of Biophysics 47, no. 1 (2018): 549–67. http://dx.doi.org/10.1146/annurev-biophys-070816-033854.

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Three-dimensional (3D) cell culture systems have gained increasing interest not only for 3D migration studies but also for their use in drug screening, tissue engineering, and ex vivo modeling of metastatic behavior in the field of cancer biology and morphogenesis in the field of developmental biology. The goal of studying cells in a 3D context is to attempt to more faithfully recapitulate the physiological microenvironment of tissues, including mechanical and structural parameters that we envision will reveal more predictive data for development programs and disease states. In this review, we
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49

Dupuis, Freddy, Vadim Shlyonsky, Bertrand de Prelle, and David Gall. "Neurosimilator for Undergraduate Biophysics and Neurophysiology Courses." Journal of Undergraduate Neuroscience Education 22, no. 3 (2024): A207—A216. http://dx.doi.org/10.59390/miuv3158.

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The animal welfare principles are forcing undergraduate teaching to avoid the use of animals. Therefore, many hands-on lab sessions using laboratory animals are progressively replaced by computer simulations. These versatile software simulations permit the observation of the behavior of biological systems under a great variety of experimental conditions. While this versatility is important, computer simulations often work even when a student makes wrong assumptions, a situation that poses its own pedagogical problem. Hands-on learning provides pupils with the opportunity to safely make mistake
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YANG, Chao, Lei JI, Shuang-Shuang SHI, et al. "Differentiation of CD34+ Cells Into Erythroid Cells by Human Fetal Liver Stromal Cells Expressing Erythropoietin*." PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS 37, no. 4 (2010): 381–88. http://dx.doi.org/10.3724/sp.j.1206.2009.00588.

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