5 results
Automated detection and staging of malaria parasites from cytological smears using convolutional neural networks
- Mira S. Davidson, Clare Andradi-Brown, Sabrina Yahiya, Jill Chmielewski, Aidan J. O’Donnell, Pratima Gurung, Myriam D. Jeninga, Parichat Prommana, Dean W. Andrew, Michaela Petter, Chairat Uthaipibull, Michelle J. Boyle, George W. Ashdown, Jeffrey D. Dvorin, Sarah E. Reece, Danny W. Wilson, Kane A. Cunningham, D. Michael. Ando, Michelle Dimon, Jake Baum
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- Journal:
- Biological Imaging / Volume 1 / 2021
- Published online by Cambridge University Press:
- 02 August 2021, e2
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Microscopic examination of blood smears remains the gold standard for laboratory inspection and diagnosis of malaria. Smear inspection is, however, time-consuming and dependent on trained microscopists with results varying in accuracy. We sought to develop an automated image analysis method to improve accuracy and standardization of smear inspection that retains capacity for expert confirmation and image archiving. Here, we present a machine learning method that achieves red blood cell (RBC) detection, differentiation between infected/uninfected cells, and parasite life stage categorization from unprocessed, heterogeneous smear images. Based on a pretrained Faster Region-Based Convolutional Neural Networks (R-CNN) model for RBC detection, our model performs accurately, with an average precision of 0.99 at an intersection-over-union threshold of 0.5. Application of a residual neural network-50 model to infected cells also performs accurately, with an area under the receiver operating characteristic curve of 0.98. Finally, combining our method with a regression model successfully recapitulates intraerythrocytic developmental cycle with accurate lifecycle stage categorization. Combined with a mobile-friendly web-based interface, called PlasmoCount, our method permits rapid navigation through and review of results for quality assurance. By standardizing assessment of Giemsa smears, our method markedly improves inspection reproducibility and presents a realistic route to both routine lab and future field-based automated malaria diagnosis.
Personality Polygenes, Positive Affect, and Life Satisfaction
- Alexander Weiss, Bart M. L. Baselmans, Edith Hofer, Jingyun Yang, Aysu Okbay, Penelope A. Lind, Mike B. Miller, Ilja M. Nolte, Wei Zhao, Saskia P. Hagenaars, Jouke-Jan Hottenga, Lindsay K. Matteson, Harold Snieder, Jessica D. Faul, Catharina A. Hartman, Patricia A. Boyle, Henning Tiemeier, Miriam A. Mosing, Alison Pattie, Gail Davies, David C. Liewald, Reinhold Schmidt, Philip L. De Jager, Andrew C. Heath, Markus Jokela, John M. Starr, Albertine J. Oldehinkel, Magnus Johannesson, David Cesarini, Albert Hofman, Sarah E. Harris, Jennifer A. Smith, Liisa Keltikangas-Järvinen, Laura Pulkki-Råback, Helena Schmidt, Jacqui Smith, William G. Iacono, Matt McGue, David A. Bennett, Nancy L. Pedersen, Patrik K. E. Magnusson, Ian J. Deary, Nicholas G. Martin, Dorret I. Boomsma, Meike Bartels, Michelle Luciano
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- Journal:
- Twin Research and Human Genetics / Volume 19 / Issue 5 / October 2016
- Published online by Cambridge University Press:
- 22 August 2016, pp. 407-417
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Approximately half of the variation in wellbeing measures overlaps with variation in personality traits. Studies of non-human primate pedigrees and human twins suggest that this is due to common genetic influences. We tested whether personality polygenic scores for the NEO Five-Factor Inventory (NEO-FFI) domains and for item response theory (IRT) derived extraversion and neuroticism scores predict variance in wellbeing measures. Polygenic scores were based on published genome-wide association (GWA) results in over 17,000 individuals for the NEO-FFI and in over 63,000 for the IRT extraversion and neuroticism traits. The NEO-FFI polygenic scores were used to predict life satisfaction in 7 cohorts, positive affect in 12 cohorts, and general wellbeing in 1 cohort (maximal N = 46,508). Meta-analysis of these results showed no significant association between NEO-FFI personality polygenic scores and the wellbeing measures. IRT extraversion and neuroticism polygenic scores were used to predict life satisfaction and positive affect in almost 37,000 individuals from UK Biobank. Significant positive associations (effect sizes <0.05%) were observed between the extraversion polygenic score and wellbeing measures, and a negative association was observed between the polygenic neuroticism score and life satisfaction. Furthermore, using GWA data, genetic correlations of -0.49 and -0.55 were estimated between neuroticism with life satisfaction and positive affect, respectively. The moderate genetic correlation between neuroticism and wellbeing is in line with twin research showing that genetic influences on wellbeing are also shared with other independent personality domains.
Contributors
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- By Gregory A. Aarons, Nick Axford, Frances Wallace Bailey, Judith Bennett, Karen A. Blase, James Boyle, Tracey Bywater, Linda L. Caldwell, Jeanne Century, Anne Michelle Daniels, Thomas J. Dishion, Celene E. Domitrovich, Morgaen Donaldson, Glen Dunlap, Carl J. Dunst, Melissa Van Dyke, Dean L. Fixsen, Tamsin Ford, Lise Fox, Cassie Freeman, Robyn M. Gillies, Amy E. Green, Mark T. Greenberg, Violet H. Harada, Tim Hobbs, Cindy Huang, Robert J. Illback, Barbara Kelly, Kathryn Margolis, Elizabeth Miller, Dana T. Mitra, Jeremy J. Monsen, Julia E. Moore, Louise Morpeth, Barbara Neufeld, Colleen K. Reutebuch, Mollie Rudnick, Robert Savage, Robert E. Slavin, Elizabeth A. Stormshack, Phillip Strain, Keith J. Topping, Carol M. Trivette, Sharon Vaughn, Janet A. Welsh, Lisa Marks Woolfson, Joyce Yukawa
- Edited by Barbara Kelly, University of Strathclyde, Daniel F. Perkins, Pennsylvania State University
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- Book:
- Handbook of Implementation Science for Psychology in Education
- Published online:
- 05 November 2012
- Print publication:
- 20 August 2012, pp xi-xiv
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- By Waiel Almoustadi, Brian J. Anderson, David B. Auyong, Michael Avidan, Michael J. Avram, Roland J. Bainton, Jeffrey R. Balser, Juliana Barr, W. Scott Beattie, Manfred Blobner, T. Andrew Bowdle, Walter A. Boyle, Eugene B. Campbell, Laura F. Cavallone, Mario Cibelli, C. Michael Crowder, Ola Dale, M. Frances Davies, Mark Dershwitz, George Despotis, Clifford S. Deutschman, Brian S. Donahue, Marcel E. Durieux, Thomas J. Ebert, Talmage D. Egan, Helge Eilers, E. Wesley Ely, Charles W. Emala, Alex S. Evers, Heidrun Fink, Pierre Foëx, Stuart A. Forman, Helen F. Galley, Josephine M. Garcia-Ferrer, Robert W. Gereau, Tony Gin, David Glick, B. Joseph Guglielmo, Dhanesh K. Gupta, Howard B. Gutstein, Robert G. Hahn, Greg B. Hammer, Brian P. Head, Helen Higham, Laureen Hill, Kirk Hogan, Charles W. Hogue, Christopher G. Hughes, Eric Jacobsohn, Roger A. Johns, Dean R. Jones, Max Kelz, Evan D. Kharasch, Ellen W. King, W. Andrew Kofke, Tom C. Krejcie, Richard M. Langford, H. T. Lee, Isobel Lever, Jerrold H. Levy, J. Lance Lichtor, Larry Lindenbaum, Hung Pin Liu, Geoff Lockwood, Alex Macario, Conan MacDougall, M. B. MacIver, Aman Mahajan, Nándor Marczin, J. A. Jeevendra Martyn, George A. Mashour, Mervyn Maze, Thomas McDowell, Stuart McGrane, Berend Mets, Patrick Meybohm, Charles F. Minto, Jonathan Moss, Mohamed Naguib, Istvan Nagy, Nick Oliver, Paul S. Pagel, Pratik P. Pandharipande, Piyush Patel, Andrew J. Patterson, Robert A. Pearce, Ronald G. Pearl, Misha Perouansky, Kristof Racz, Chinniampalayam Rajamohan, Nilesh Randive, Imre Redai, Stephen Robinson, Richard W. Rosenquist, Carl E. Rosow, Uwe Rudolph, Francis V. Salinas, Robert D. Sanders, Sunita Sastry, Michael Schäfer, Jens Scholz, Thomas W. Schnider, Mark A. Schumacher, John W. Sear, Frédérique S. Servin, Jeffrey H. Silverstein, Tom De Smet, Martin Smith, Joe Henry Steinbach, Markus Steinfath, David F. Stowe, Gary R. Strichartz, Michel M. R. F. Struys, Isao Tsuneyoshi, Robert A. Veselis, Arthur Wallace, Robert P. Walt, David C. Warltier, Nigel R. Webster, Jeanine Wiener-Kronish, Troy Wildes, Paul Wischmeyer, Ling-Gang Wu, Stephen Yang
- Edited by Alex S. Evers, Washington University School of Medicine, St Louis, Mervyn Maze, University of California, San Francisco, Evan D. Kharasch, Washington University School of Medicine, St Louis
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- Book:
- Anesthetic Pharmacology
- Published online:
- 11 April 2011
- Print publication:
- 10 March 2011, pp viii-xiv
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- By Phillip L. Ackerman, Neil Anderson, Jens B. Asendorpf, R. Michael Bagby, Michael Harris Bond, Gregory J. Boyle, Andrea L. Briggs, Giles St J. Burch, Turhan Canli, David Canter, Gianvittorio Caprara, Charles S. Carver, Douglas F. Cellar, Gordon Claridge, Susan Cloninger, Elisabeth D. Conradt, Philip J. Corr, Sharon Dawe, Ian J. Deary, Boele De Raad, Edward L. Deci, Colin G. DeYoung, M. Brent Donnellan, Juris G. Draguns, Marko Elovainio, Aurelio José Figueredo, David C. Funder, Paul Gladden, Rapson Gomez, Samuel D. Gosling, Jeremy R. Gray, Robert D. Hare, B. Austin Harley, Edward Helmes, Robert Hogan, Lauri A. Jensen-Campbell, Daniel Nelson Jones, Mika Kivimäki, Jennifer M. Knack, James T. Lamiell, Natalie J. Loxton, Geoff MacDonald, Gerald Matthews, Robert R. McCrae, Mario Mikulincer, Stephanie N. Mullins-Sweatt, Marcus R. Munafò, Vickie Nam, Craig S. Newmann, Rainer Reisenzein, Madeline Rex-Lear, Richard W. Robins, Michael D. Robinson, Mary K. Rothbart, Richard M. Ryan, Gerard Saucier, Michael F. Scheier, Constantine Sedikides, Phillip R. Shaver, Brad E. Sheese, Yuichi Shoda, Ronald E. Smith, Alice F. Stuhlmacher, Rhonda Swickert, Avril Thorne, David D. Vachon, Geneva Vásquez, Michele Vecchione, Seth A. Wagerman, Fiona Warren, Hannelore Weber, Thomas A. Widiger, Pedro Sofio Abril Wolf, Donna Youngs, Moshe Zeidner
- Edited by Philip J. Corr, University of East Anglia, Gerald Matthews, University of Cincinnati
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- Book:
- The Cambridge Handbook of Personality Psychology
- Published online:
- 05 June 2012
- Print publication:
- 16 July 2009, pp xv-xvii
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