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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Allen, D., Weiss, L., Saguy, A., Rosenberg, M., Iancu, O., Matalon, O., Lee, C., Beider, K., Nagler, A., Shechtman, Y., & Hendel, A. (2022). High-throughput Imaging of CRISPR- and Recombinant Adeno-associated Virus-induced DNA Damage Response in Human Hematopoietic Stem and Progenitor Cells. Crispr Journal, 5(1), 80-94. External link
Adir, O., Albalak, M. R., Abel, R., Weiss, L., Chen, G., Gruber, A., Staufer, O., Kurman, Y., Kaminer, I., Shklover, J., Shainsky-Roitman, J., Platzman, I., Gepstein, L., Shechtman, Y., Horwitz, B. A., & Schroeder, A. (2022). Synthetic cells with self-activating optogenetic proteins communicate with natural cells. Nature Communications, 13(1), 13 pages. External link
Ferdman, B., Nehme, E., Weiss, L., Orange, R., Alalouf, O., & Shechtman, Y. (2020). VIPR: vectorial implementation of phase retrieval for fast and accurate microscopic pixel-wise pupil estimation. Optics Express, 28(7), 10179-10198. External link
Ferdman, B., Weiss, L., Alalouf, O., Haimovich, Y., & Shechtman, Y. (2018). Ultrasensitive Refractometry via Supercritical Angle Fluorescence. ACS Nano, 12(12), 11892-11898. External link
Gordon-Soffer, R., Weiss, L., Eshel, R., Ferdman, B., Nehme, E., Bercovici, M., & Shechtman, Y. (2020). Microscopic scan-free surface profiling over extended axial ranges by point-spread-function engineering. Science Advances, 6(44). External link
Granik, N., Weiss, L., Nehme, E., Levin, M., Chein, M., Perlson, E., Roichman, Y., & Shechtman, Y. (2019). Single-Particle Diffusion Characterization by Deep Learning. Biophysical Journal, 117(2), 185-192. External link
Hershko, E., Weiss, L., Michaeli, T., & Shechtman, Y. (2019). Multicolor localization microscopy and point-spread-function engineering by deep learning. Optics Express, 27(5), 6158-6183. External link
Naor, T., Nogin, Y., Nehme, E., Ferdman, B., Weiss, L., Alalouf, O., & Shechtman, Y. (2022). Quantifying cell cycle dependent chromatin dynamics during interphase by live 3D tracking. iScience, 25(5), 18 pages. External link
Nehme, E., Ferdman, B., Weiss, L., Naor, T., Freedman, D., Michaeli, T., & Shechtman, Y. (2021). Learning Optimal Wavefront Shaping for Multi-Channel Imaging. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(7), 2179-2192. External link
Nehme, E., Freedman, D., Gordon, R., Ferdman, B., Weiss, L., Alalouf, O., Naor, T., Orange, R., Michaeli, T., & Shechtman, Y. (2020). DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning. Nature Methods, 17(7), 734-740. External link
Nehme, E., Weiss, L., Michaeli, T., & Shechtman, Y. (2018). Deep-STORM: super-resolution single-molecule microscopy by deep learning. Optica, 5(4), 458-464. External link
Orange-Kedem, R., Nehme, E., Weiss, L., Ferdman, B., Alalouf, O., Opatovski, N., & Shechtman, Y. (2021). 3D printable diffractive optical elements by liquid immersion. Nature Communications, 12(1), 3067-3067. External link
Opatovski, N., Shalev Ezra, Y., Weiss, L., Ferdman, B., Orange-Kedem, R., & Shechtman, Y. (2021). Multiplexed PSF Engineering for Three-Dimensional Multicolor Particle Tracking. Nano Letters, 21(13), 5888-5895. External link
Sedov, E., Koren, E., Chopra, S., Ankawa, R., Yosefzon, Y., Yusupova, M., Weiss, L., Mahly, A., Soffer, A., Feldman, A., Luxenburg, C., Shechtman, Y., & Fuchs, Y. (2022). THY1-mediated mechanisms converge to drive YAP activation in skin homeostasis and repair. Nature Cell Biology, 24(7), 1049-1063. External link
Saguy, A., Baldering, T. N., Weiss, L., Nehme, E., Karathanasis, C., Dietz, M. S., Heilemann, M., & Shechtman, Y. (2021). Automated Analysis of Fluorescence Kinetics in Single-Molecule Localization Microscopy Data Reveals Protein Stoichiometry. The Journal of Physical Chemistry B, 125(22), 5716-5721. External link
Shechtman, Y., Weiss, L., Backer, A. S., Lee, M. Y., & Moerner, W. E. (2016). Multicolour localization microscopy by point-spread-function engineering. Nature Photonics, 10(9), 590-594. External link
Shechtman, Y., Weiss, L., Backer, A. S., Sahl, S. J., & Moerner, W. E. (2015). Precise Three-Dimensional Scan-Free Multiple-Particle Tracking over Large Axial Ranges with Tetrapod Point Spread Functions. Nano Letters, 15(6), 4194-4199. External link
Weiss, L., Shalev Ezra, Y., Goldberg, S., Ferdman, B., Adir, O., Schroeder, A., Alalouf, O., & Shechtman, Y. (2020). Three-dimensional localization microscopy in live flowing cells. Nature Nanotechnology, 15(6), 500-506. External link
Weiss, L., Naor, T., & Shechtman, Y. (2018). Observing DNA in live cells. Biochemical Society Transactions, 46(3), 729-740. External link
