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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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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.
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
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
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
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
