Next generation tools for smart electron microscopy

Autor: Sawmya, Shashata

Smart Electron Microscopy (SmartEM) is a new generation EM imaging technology that promises to revolutionize microscopy. In this research, we explore the integration of advanced techniques to enhance this technology further. These include alternative

Externí odkaz: https://hdl.handle.net/1721.1/156333

PRIEST: predicting viral mutations with immune escape capability of SARS-CoV-2 using temporal evolutionary information.

Autor: Saha, Gourab¹ (AUTHOR), Sawmya, Shashata¹ (AUTHOR), Saha, Arpita¹ (AUTHOR), Akil, Md Ajwad¹ (AUTHOR), Tasnim, Sadia¹ (AUTHOR), Rahman, Md Saifur¹ (AUTHOR), Rahman, M Sohel¹ (AUTHOR) sohel.kcl@gmail.com

Publikováno v: Briefings in Bioinformatics. May2024, Vol. 25 Issue 3, p1-12. 12p.

Phylogenetic Analyses of SARS-CoV-2 Strains Reveal Its Link to the Spread of COVID-19 Across the Globe.

Autor: Sawmya, Shashata, Saha, Arpita, Tasnim, Sadia, Anjum, Naser, Toufikuzzaman, Md., Rafid, Ali Haisam Muhamad, Rahman, Mohammad Saifur, Rahman, M. Sohel, Alam, Tanvir

Publikováno v: Studies in Health Technology & Informatics; 2022, Vol. 290, p729-733, 5p

SmartEM: machine-learning guided electron microscopy.

Autor: Meirovitch Y; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.; Department of Physics, Harvard University, Cambridge, MA 02138, USA.; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA., Park CF; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.; Department of Physics, Harvard University, Cambridge, MA 02138, USA., Mi L; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.; Allen Institute for Brain Science, Seattle, WA, USA., Potocek P; Thermo Fisher Scientific, Eindhoven, the Netherlands.; Saarland University, 66123, Saarbrücken, Germany., Sawmya S; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA., Li Y; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA., Chandok IS; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.; Department of Physics, Harvard University, Cambridge, MA 02138, USA., Athey TL; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA., Karlupia N; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA., Wu Y; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA., Berger DR; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA., Schalek R; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA., Pfister H; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA., Schoenmakers R; Thermo Fisher Scientific, Eindhoven, the Netherlands., Peemen M; Thermo Fisher Scientific, Eindhoven, the Netherlands., Lichtman JW; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA., Samuel ADT; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.; Department of Physics, Harvard University, Cambridge, MA 02138, USA., Shavit N; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2024 Jun 15. Date of Electronic Publication: 2024 Jun 15.