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1.
  • Beal, Jacob, et al. (author)
  • Robust estimation of bacterial cell count from optical density
  • 2020
  • In: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 3:1
  • Journal article (peer-reviewed)abstract
    • Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.
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3.
  • Kristanl, Matej, et al. (author)
  • The Seventh Visual Object Tracking VOT2019 Challenge Results
  • 2019
  • In: 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW). - : IEEE COMPUTER SOC. - 9781728150239 ; , s. 2206-2241
  • Conference paper (peer-reviewed)abstract
    • The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis as well as the standard VOT methodology for long-term tracking analysis. The VOT2019 challenge was composed of five challenges focusing on different tracking domains: (i) VOT-ST2019 challenge focused on short-term tracking in RGB, (ii) VOT-RT2019 challenge focused on "real-time" short-term tracking in RGB, (iii) VOT-LT2019 focused on long-term tracking namely coping with target disappearance and reappearance. Two new challenges have been introduced: (iv) VOT-RGBT2019 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2019 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2019, VOT-RT2019 and VOT-LT2019 datasets were refreshed while new datasets were introduced for VOT-RGBT2019 and VOT-RGBD2019. The VOT toolkit has been updated to support both standard short-term, long-term tracking and tracking with multi-channel imagery. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website(1).
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  • 2019
  • Journal article (peer-reviewed)
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  • 2021
  • swepub:Mat__t
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7.
  • Aad, G., et al. (author)
  • 2013
  • In: Journal of High Energy Physics. - 1029-8479 .- 1126-6708. ; :2
  • Journal article (peer-reviewed)
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8.
  • Abazov, V. M., et al. (author)
  • Jet energy scale determination in the DO experiment
  • 2014
  • In: Nuclear Instruments and Methods in Physics Research Section A. - : Elsevier BV. - 0168-9002 .- 1872-9576. ; 763, s. 442-475
  • Journal article (peer-reviewed)abstract
    • The calibration of jet energy measured in the DO detector is presented, based on p (p) over bar collisions at a center-of-mass energy of 1.96 TeV at the Fermilab Tevatron collider, jet energies are measured using a sampling calorimeter composed of uranium and liquid argon as the passive and active media, respectively. This paper describes the energy calibration of jets performed with gamma+jet, Z+jet and dilet events, with jet transverse momentum p(T) > 6 GeV and pseudorapidity range vertical bar eta vertical bar < 3.6, The corrections are measured separately for data and simulation, achieving a precision of 1.4-1.8% for jets in the central part of the calorimeter ancl up to 3.5% for the jets with pseudorapidity vertical bar eta vertical bar = 3.0. Specific corrections are extracted to enhance the description of jet energy in simulation and in particular of the effects due to the flavor of the parton originating the jet, correcting biases up to 3-4% in jets with low PT originating from gluons and up to 6-8% in jets from b quarks. Published by Elsevier B.V.
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  • 2017
  • swepub:Mat__t
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  • Result 1-10 of 194
Type of publication
journal article (175)
conference paper (8)
research review (5)
other publication (3)
Type of content
peer-reviewed (185)
other academic/artistic (6)
Author/Editor
Kim, Jae-Young (34)
Akiyama, Kazunori (34)
Alberdi, Antxon (34)
Alef, Walter (34)
Barrett, John (34)
Bintley, Dan (34)
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Blackburn, Lindy (34)
Brissenden, Roger (34)
Britzen, Silke (34)
Broderick, Avery E. (34)
Bronzwaer, Thomas (34)
Byun, Do Young (34)
Chen, Ming Tang (34)
Chen, Yongjun (34)
Cui, Yuzhu (34)
Davelaar, Jordy (34)
Desvignes, Gregory (34)
Eatough, Ralph P. (34)
Gammie, Charles F. (34)
Gentaz, Olivier (34)
Gu, Minfeng (34)
Inoue, Makoto (34)
James, David J. (34)
Jeter, Britton (34)
Jung, Taehyun (34)
Kawashima, Tomohisa (34)
Koay, Jun Yi (34)
Koyama, Shoko (34)
Lee, Sang Sung (34)
Li, Zhiyuan (34)
Liuzzo, Elisabetta (34)
Lo, Wen-Ping (34)
Mao, Jirong (34)
Mizuno, Yosuke (34)
Mizuno, Izumi (34)
Moran, James M. (34)
Moriyama, Kotaro (34)
Natarajan, Iniyan (34)
Ni, Chunchong (34)
Okino, Hiroki (34)
Pietu, Vincent (34)
PopStefanija, Aleksa ... (34)
Porth, Oliver (34)
Ramakrishnan, Venkat ... (34)
Raymond, Alexander W ... (34)
Ripperda, Bart (34)
Ros, Eduardo (34)
Rygl, Kazi L. J. (34)
Sanchez-Arguelles, D ... (34)
Sasada, Mahito (34)
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University
Karolinska Institutet (66)
Chalmers University of Technology (50)
Uppsala University (41)
Lund University (34)
Royal Institute of Technology (20)
University of Gothenburg (16)
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Stockholm University (15)
Umeå University (10)
Linköping University (6)
Högskolan Dalarna (6)
University of Skövde (5)
Halmstad University (4)
Linnaeus University (4)
Swedish University of Agricultural Sciences (2)
Luleå University of Technology (1)
University of Gävle (1)
Mälardalen University (1)
Örebro University (1)
Jönköping University (1)
University of Borås (1)
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Language
English (194)
Research subject (UKÄ/SCB)
Natural sciences (92)
Medical and Health Sciences (52)
Engineering and Technology (32)
Agricultural Sciences (3)
Social Sciences (2)

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