A novel optical needle probe for deep learning-based tissue elasticity characterization

Autor: Mieling, Robin, Sprenger, Johanna, Latus, Sarah, Bargsten, Lennart, Schlaefer, Alexander

Publikováno v: Current Directions in Biomedical Engineering 7 (2021) 21-25

The distinction between malignant and benign tumors is essential to the treatment of cancer. The tissue's elasticity can be used as an indicator for the required tissue characterization. Optical coherence elastography (OCE) probes have been proposed

Externí odkaz: http://arxiv.org/abs/2109.09362

Volumetric heating of nanowire arrays to keV temperatures using kilojoule-scale petawatt laser interactions

Autor: Hill, M. P., Humphries, O., Royle, R., Williams, B., Ramsay, M. G., Miscampbell, A., Allan, P., Brown, C. R. D., Hobbs, L. M. R., James, S. F., Hoarty, D. J., Marjoribanks, R. S., Park, J., London, R. A., Tommasini, R., Pukhov, A., Bargsten, C., Hollinger, R., Shlyaptsev, V. N., Capeluto, M. G., Rocca, J. J., Vinko, S. M.

We present picosecond-resolution streaked K-shell spectra from 400 nm-diameter nickel nanowire arrays, demonstrating the ability to generate large volumes of high energy density plasma when combined with the longer pulses typical of the largest short

Externí odkaz: http://arxiv.org/abs/2007.10410

Gene editing of NCF1 loci is associated with homologous recombination and chromosomal rearrangements.

Autor: Raimondi, Federica, Siow, Kah Mun, Wrona, Dominik, Fuster-García, Carla, Pastukhov, Oleksandr, Schmitz, Michael, Bargsten, Katja, Kissling, Lucas, Swarts, Daan C., Andrieux, Geoffroy, Cathomen, Toni, Modlich, Ute, Jinek, Martin, Siler, Ulrich, Reichenbach, Janine

Publikováno v: Communications Biology; 10/9/2024, Vol. 7 Issue 1, p1-10, 10p

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Autor: Jiang, Yuxiang, Oron, Tal Ronnen, Clark, Wyatt T, Bankapur, Asma R, D'Andrea, Daniel, Lepore, Rosalba, Funk, Christopher S, Kahanda, Indika, Verspoor, Karin M, Ben-Hur, Asa, Koo, Emily, Penfold-Brown, Duncan, Shasha, Dennis, Youngs, Noah, Bonneau, Richard, Lin, Alexandra, Sahraeian, Sayed ME, Martelli, Pier Luigi, Profiti, Giuseppe, Casadio, Rita, Cao, Renzhi, Zhong, Zhaolong, Cheng, Jianlin, Altenhoff, Adrian, Skunca, Nives, Dessimoz, Christophe, Dogan, Tunca, Hakala, Kai, Kaewphan, Suwisa, Mehryary, Farrokh, Salakoski, Tapio, Ginter, Filip, Fang, Hai, Smithers, Ben, Oates, Matt, Gough, Julian, Törönen, Petri, Koskinen, Patrik, Holm, Liisa, Chen, Ching-Tai, Hsu, Wen-Lian, Bryson, Kevin, Cozzetto, Domenico, Minneci, Federico, Jones, David T, Chapman, Samuel, C., Dukka B K., Khan, Ishita K, Kihara, Daisuke, Ofer, Dan, Rappoport, Nadav, Stern, Amos, Cibrian-Uhalte, Elena, Denny, Paul, Foulger, Rebecca E, Hieta, Reija, Legge, Duncan, Lovering, Ruth C, Magrane, Michele, Melidoni, Anna N, Mutowo-Meullenet, Prudence, Pichler, Klemens, Shypitsyna, Aleksandra, Li, Biao, Zakeri, Pooya, ElShal, Sarah, Tranchevent, Léon-Charles, Das, Sayoni, Dawson, Natalie L, Lee, David, Lees, Jonathan G, Sillitoe, Ian, Bhat, Prajwal, Nepusz, Tamás, Romero, Alfonso E, Sasidharan, Rajkumar, Yang, Haixuan, Paccanaro, Alberto, Gillis, Jesse, Sedeño-Cortés, Adriana E, Pavlidis, Paul, Feng, Shou, Cejuela, Juan M, Goldberg, Tatyana, Hamp, Tobias, Richter, Lothar, Salamov, Asaf, Gabaldon, Toni, Marcet-Houben, Marina, Supek, Fran, Gong, Qingtian, Ning, Wei, Zhou, Yuanpeng, Tian, Weidong, Falda, Marco, Fontana, Paolo, Lavezzo, Enrico, Toppo, Stefano, Ferrari, Carlo, Giollo, Manuel, Piovesan, Damiano, Tosatto, Silvio, del Pozo, Angela, Fernández, José M, Maietta, Paolo, Valencia, Alfonso, Tress, Michael L, Benso, Alfredo, Di Carlo, Stefano, Politano, Gianfranco, Savino, Alessandro, Rehman, Hafeez Ur, Re, Matteo, Mesiti, Marco, Valentini, Giorgio, Bargsten, Joachim W, van Dijk, Aalt DJ, Gemovic, Branislava, Glisic, Sanja, Perovic, Vladmir, Veljkovic, Veljko, Veljkovic, Nevena, Almeida-e-Silva, Danillo C, Vencio, Ricardo ZN, Sharan, Malvika, Vogel, Jörg, Kansakar, Lakesh, Zhang, Shanshan, Vucetic, Slobodan, Wang, Zheng, Sternberg, Michael JE, Wass, Mark N, Huntley, Rachael P, Martin, Maria J, O'Donovan, Claire, Robinson, Peter N, Moreau, Yves, Tramontano, Anna, Babbitt, Patricia C, Brenner, Steven E, Linial, Michal, Orengo, Christine A, Rost, Burkhard, Greene, Casey S, Mooney, Sean D, Friedberg, Iddo, Radivojac, Predrag

Background: The increasing volume and variety of genotypic and phenotypic data is a major defining characteristic of modern biomedical sciences. At the same time, the limitations in technology for generating data and the inherently stochastic nature

Externí odkaz: http://arxiv.org/abs/1601.00891

Deep learning for calcium segmentation in intravascular ultrasound images

Autor: Bargsten Lennart, Riedl Katharina A., Wissel Tobias, Brunner Fabian J., Schaefers Klaus, Grass Michael, Blankenberg Stefan, Seiffert Moritz, Schlaefer Alexander

Publikováno v: Current Directions in Biomedical Engineering, Vol 7, Iss 1, Pp 96-100 (2021)

Knowing the shape of vascular calcifications is crucial for appropriate planning and conductance of percutaneous coronary interventions. The clinical workflow can therefore benefit from automatic segmentation of calcified plaques in intravascular ult

Externí odkaz: https://doaj.org/article/de59b24cd3524e2994684ae7d09b53ef