Nano-sized particles have been engineered in a new way to improve detection of tumors within the body and in biopsy tissue, a research team reports. The advance could enable identifying early stage tumors with lower doses of radiation.
Researchers from the KTH Royal Institute of Technology have developed “core-shell nanoparticles” which may be used in the future for targeted diagnostics, instead of current methods that use optical or X-ray fluorescence contrast agents. The tests performed in the laboratory on mice have shown that the new particles are able to detect early-stage tumours of only a few millimetres in size. “Nanoparticles of different size, originating from the same material, don’t appear to be distributed in the blood in the same concentrations,” Muhammet Toprak, Professor of Materials Chemistry at KTH, says. “That’s because when they come into contact with your body, they’re quickly wrapped in various biological molecules — which gives them a new identity.”
Source (KTH, Royal Institute of Technology. “New nanoparticle design paves way for improved detection of tumors.” ScienceDaily. ScienceDaily, 2 June 2021.)
Original paper: Saladino, G.M., Vogt, C., Li, Y., Shaker, K., Brodin, B., Svenda, M., Hertz, H.M. and Toprak, M.S., 2021. Optical and X-ray Fluorescent Nanoparticles for Dual Mode Bioimaging. ACS nano, 15(3), pp.5077-5085.
Researchers have developed a method for producing looping videos from one image. The technique is specialized in fluid motion seen in water, smoke or clouds. After training a deep neural network on thousands of images, the framework is capable of estimating motion. The solution posed several challenges, from which the most difficult to overcome was the employment of the splatting technique. Through it, holes in the top part of the images appeared. Using the previously obtained motion, the authors created a symmetric splatting methodology that merges the flow bidirectionally. A presentation of the published work can be seen in the following video.
For an in-depth understanding of the paper, please see the following resources:
Source (University of Washington. “Researchers can turn a single photo into a video.” ScienceDaily. ScienceDaily, 15 June 2021.)
Original paper: Holynski, A., Curless, B., Seitz, S.M. and Szeliski, R., 2020. Animating Pictures with Eulerian Motion Fields. arXiv preprint arXiv:2011.15128.