Jason Swedlow

Last updated
Jason R. Swedlow
Born (1961-06-20) June 20, 1961 (age 62)
Los Angeles, CA
Nationality American
Alma mater University of California, San Francisco
Known forOpen Microscopy Environment (OME)
Awards BBSRC Innovator of the Year Fellow of the Royal Society of Edinburgh
Scientific career
Fields Cell Biology & Bioimage informatics
Institutions University of Dundee
Thesis Distribution and Dynamics of DNA Topoisomerase II in Drosophila Chromosomes  (1994)
Doctoral advisor David Agard & John Sedat
Website OME
Research Profile

Jason Swedlow is an American-born cell biologist and light microscopist who is Professor of Quantitative Cell Biology at the School of Life Sciences, University of Dundee, Scotland. He is a co-founder of the Open Microscopy Environment and Glencoe Software. In 2021, he joined Wellcome Leap as a Program Director.

Contents

Education and career

Prof. Swedlow received a B.A. in Chemistry from Brandeis University in Waltham, Massachusetts, in 1982. He then earned a Ph.D. in Biophysics from UCSF in 1994, under the direction of Dr. David Agard and Dr. John Sedat. After a postdoctoral fellowship with Dr Tim Mitchison at UCSF and then Harvard Medical School, Dr Swedlow established his own laboratory in 1998 at the Wellcome Trust Biocentre, University of Dundee, as a Wellcome Trust Career Development Fellow. He was awarded a Wellcome Trust Senior Research Fellowship in 2002 and named Professor of Quantitative Cell Biology in 2007. From 2021-2024, he has a part-time secondment as a Program Director at Wellcome Leap, running the Delta Tissue Program. He was named a Fellow of the Royal Society of Edinburgh in 2012 and appointed an Honorary OBE in 2021.

Research

Prof. Swedlow's research [1] focuses on mechanisms and regulation of chromosome segregation during mitotic cell division [2] [3] [4] [5] [6] [7] [8] and the development of software tools for accessing, processing, sharing and publishing large scientific image datasets. [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] He leads OME, an international consortium that develops and releases open source software for biological imaging and Glencoe Software, which commercialises and customises OME technology for use in academic and biopharmaceutical research (e.g., Columbus from PerkinElmer, CellLibrarian from Yokogawa, and Amira from Thermo Fisher Scientific. He participates in Euro-BioImaging, Global BioImaging, and is co-Founder of BioImagingUK, a consortium of UK imaging scientists that develop, use, or administer imaging solutions for life sciences research. Using OME technology, he has collaborated with EMBL-EBI to develop the Image Data Resource, a public data resource for reference images from bioimaging.

Teaching

Prof. Swedlow has served as Faculty (since 1997) and Co-Director (2009 - 2014) of the Analytical & Quantitative Light Microscopy Course at the Marine Biological Laboratory in Woods Hole, Massachusetts, and participates as Faculty in the NCBS Bangalore Microscopy Course.

Family

Prof. Swedlow is married to Dr Melpomeni Platani, and has two children, Jan and Lena.

Related Research Articles

<span class="mw-page-title-main">Electron microscope</span> Type of microscope with electrons as a source of illumination

An electron microscope is a microscope that uses a beam of electrons as a source of illumination. They use electron optics that are analogous to the glass lenses of an optical light microscope to control the electron beam, for instance focusing them to produce magnified images or electron diffraction patterns. As the wavelength of an electron can be up to 100,000 times smaller than that of visible light, electron microscopes have a much higher resolution of about 0.1 nm, which compares to about 200 nm for light microscopes. Electron microscope may refer to:

<span class="mw-page-title-main">Omics</span> Suffix in biology

The branches of science known informally as omics are various disciplines in biology whose names end in the suffix -omics, such as genomics, proteomics, metabolomics, metagenomics, phenomics and transcriptomics. Omics aims at the collective characterization and quantification of pools of biological molecules that translate into the structure, function, and dynamics of an organism or organisms.

<span class="mw-page-title-main">Spindle checkpoint</span> Cell cycle checkpoint

The spindle checkpoint, also known as the metaphase-to-anaphase transition, the spindle assembly checkpoint (SAC), the metaphase checkpoint, or the mitotic checkpoint, is a cell cycle checkpoint during metaphase of mitosis or meiosis that prevents the separation of the duplicated chromosomes (anaphase) until each chromosome is properly attached to the spindle. To achieve proper segregation, the two kinetochores on the sister chromatids must be attached to opposite spindle poles. Only this pattern of attachment will ensure that each daughter cell receives one copy of the chromosome. The defining biochemical feature of this checkpoint is the stimulation of the anaphase-promoting complex by M-phase cyclin-CDK complexes, which in turn causes the proteolytic destruction of cyclins and proteins that hold the sister chromatids together.

CellProfiler is free, open-source software designed to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. Advanced algorithms for image analysis are available as individual modules that can be placed in sequential order together to form a pipeline; the pipeline is then used to identify and measure biological objects and features in images, particularly those obtained through fluorescence microscopy.

<span class="mw-page-title-main">Aurora inhibitor</span>

Aurora kinase inhibitors are a putative drug class for treating cancer. The Aurora kinase enzymes could be potential targets for novel small-molecule enzyme inhibitors.

<span class="mw-page-title-main">Second-harmonic imaging microscopy</span>

Second-harmonic imaging microscopy (SHIM) is based on a nonlinear optical effect known as second-harmonic generation (SHG). SHIM has been established as a viable microscope imaging contrast mechanism for visualization of cell and tissue structure and function. A second-harmonic microscope obtains contrasts from variations in a specimen's ability to generate second-harmonic light from the incident light while a conventional optical microscope obtains its contrast by detecting variations in optical density, path length, or refractive index of the specimen. SHG requires intense laser light passing through a material with a noncentrosymmetric molecular structure, either inherent or induced externally, for example by an electric field.

<span class="mw-page-title-main">Nucleoporin 107</span> Protein-coding gene in the species Homo sapiens

Nucleoporin 107 (Nup107) is a protein that in humans is encoded by the NUP107 gene.

Bioimage informatics is a subfield of bioinformatics and computational biology. It focuses on the use of computational techniques to analyze bioimages, especially cellular and molecular images, at large scale and high throughput. The goal is to obtain useful knowledge out of complicated and heterogeneous image and related metadata.

<span class="mw-page-title-main">Jennifer Lippincott-Schwartz</span> American biologist

Jennifer Lippincott-Schwartz is a Senior Group Leader at Howard Hughes Medical Institute's Janelia Research Campus and a founding member of the Neuronal Cell Biology Program at Janelia. Previously, she was the Chief of the Section on Organelle Biology in the Cell Biology and Metabolism Program, in the Division of Intramural Research in the Eunice Kennedy Shriver National Institute of Child Health and Human Development at the National Institutes of Health from 1993 to 2016. Lippincott-Schwartz received her PhD from Johns Hopkins University, and performed post-doctoral training with Richard Klausner at the NICHD, NIH in Bethesda, Maryland.

Biology data visualization is a branch of bioinformatics concerned with the application of computer graphics, scientific visualization, and information visualization to different areas of the life sciences. This includes visualization of sequences, genomes, alignments, phylogenies, macromolecular structures, systems biology, microscopy, and magnetic resonance imaging data. Software tools used for visualizing biological data range from simple, standalone programs to complex, integrated systems.

Super-resolution microscopy is a series of techniques in optical microscopy that allow such images to have resolutions higher than those imposed by the diffraction limit, which is due to the diffraction of light. Super-resolution imaging techniques rely on the near-field or on the far-field. Among techniques that rely on the latter are those that improve the resolution only modestly beyond the diffraction-limit, such as confocal microscopy with closed pinhole or aided by computational methods such as deconvolution or detector-based pixel reassignment, the 4Pi microscope, and structured-illumination microscopy technologies such as SIM and SMI.

<span class="mw-page-title-main">Anthony A. Hyman</span> British biologist

Anthony Arie Hyman is a British scientist and director at the Max Planck Institute of Molecular Cell Biology and Genetics.

The Centre for Gene Regulation and Expression, located within the School of Life Sciences, University of Dundee, is a research facility working in the field of gene expression and chromosome biology. Previously part of the Dundee Biocentre and receiving significant Wellcome Trust funding from 1995 onwards, it was awarded Wellcome Trust Centre status in 2008. Professor Tom Owen-Hughes is the centre's director.

<span class="mw-page-title-main">Robert F. Murphy (computational biologist)</span>

Robert F. Murphy is Ray and Stephanie Lane Professor of Computational Biology Emeritus and Director of the M.S. Program in Automated Science at Carnegie Mellon University. Prior to his retirement in May 2021, he was the Ray and Stephanie Lane Professor of Computational Biology as well as Professor of Biological Sciences, Biomedical Engineering, and Machine Learning. He was founding Director of the Center for Bioimage Informatics at Carnegie Mellon and founded the Joint CMU-Pitt Ph.D. Program in Computational Biology. He also founded the Computational Biology Department at Carnegie Mellon University and served as its head from 2009 to 2020.

<span class="mw-page-title-main">Amira (software)</span> Software platform for 3D and 4D data visualization

Amira is a software platform for visualization, processing, and analysis of 3D and 4D data. It is being actively developed by Thermo Fisher Scientific in collaboration with the Zuse Institute Berlin (ZIB), and commercially distributed by Thermo Fisher Scientific — together with its sister software Avizo.

CellCognition is a free open-source computational framework for quantitative analysis of high-throughput fluorescence microscopy (time-lapse) images in the field of bioimage informatics and systems microscopy. The CellCognition framework uses image processing, computer vision and machine learning techniques for single-cell tracking and classification of cell morphologies. This enables measurements of temporal progression of cell phases, modeling of cellular dynamics and generation of phenotype map.

<span class="mw-page-title-main">Live-cell imaging</span> Study of living cells using time-lapse microscopy

Live-cell imaging is the study of living cells using time-lapse microscopy. It is used by scientists to obtain a better understanding of biological function through the study of cellular dynamics. Live-cell imaging was pioneered in the first decade of the 21st century. One of the first time-lapse microcinematographic films of cells ever made was made by Julius Ries, showing the fertilization and development of the sea urchin egg. Since then, several microscopy methods have been developed to study living cells in greater detail with less effort. A newer type of imaging using quantum dots have been used, as they are shown to be more stable. The development of holotomographic microscopy has disregarded phototoxicity and other staining-derived disadvantages by implementing digital staining based on cells’ refractive index.

<span class="mw-page-title-main">Nanoscale secondary ion mass spectrometry</span>

NanoSIMS is an analytical instrument manufactured by CAMECA which operates on the principle of secondary ion mass spectrometry. The NanoSIMS is used to acquire nanoscale resolution measurements of the elemental and isotopic composition of a sample. The NanoSIMS is able to create nanoscale maps of elemental or isotopic distribution, parallel acquisition of up to seven masses, isotopic identification, high mass resolution, subparts-per-million sensitivity with spatial resolution down to 50 nm.

William Charles Earnshaw is Professor of Chromosome Dynamics at the University of Edinburgh, where he has been a Wellcome Trust Principal Research Fellow since 1996.

Anna Kreshuk is a group leader at the European Molecular Biology Laboratory in Heidelberg, Germany. She joined the Cell Biology and Biophysics Unit in July 2018, where her group employs machine learning to develop automated methods to help biologists speed up image analysis.

References

  1. Jason Swedlow publications indexed by Google Scholar
  2. Andrews, P. D.; Ovechkina, Y.; Morrice, N.; Wagenbach, M.; Duncan, K.; Wordeman, L.; Swedlow, J. R. (2004). "Aurora B regulates MCAK at the mitotic centromere". Developmental Cell. 6 (2): 253–268. doi: 10.1016/s1534-5807(04)00025-5 . PMID   14960279.
  3. Posch, M.; Khoudoli, G. A.; Swift, S.; King, E. M.; Deluca, J. G.; Swedlow, J. R. (2010). "Sds22 regulates aurora B activity and microtubule-kinetochore interactions at mitosis" (PDF). The Journal of Cell Biology. 191 (1): 61–74. doi:10.1083/jcb.200912046. PMC   2953433 . PMID   20921135.
  4. Jaqaman, K.; King, E. M.; Amaro, A. C.; Winter, J. R.; Dorn, J. F.; Elliott, H. L.; McHedlishvili, N.; McClelland, S. E.; Porter, I. M.; Posch, M.; Toso, A.; Danuser, G.; McAinsh, A. D.; Meraldi, P.; Swedlow, J. R. (2010). "Kinetochore alignment within the metaphase plate is regulated by centromere stiffness and microtubule depolymerases". The Journal of Cell Biology. 188 (5): 665–679. doi:10.1083/jcb.200909005. PMC   2835940 . PMID   20212316.
  5. Moser, S. C.; Bensaddek, D.; Ortmann, B.; Maure, J. F.; Mudie, S.; Blow, J. J.; Lamond, A. I.; Swedlow, J. R.; Rocha, S. (2013). "PHD1 Links Cell-Cycle Progression to Oxygen Sensing through Hydroxylation of the Centrosomal Protein Cep192". Developmental Cell. 26 (4): 381–392. doi:10.1016/j.devcel.2013.06.014. PMC   3757158 . PMID   23932902.
  6. Porter, I. M.; Schleicher, K.; Porter, M.; Swedlow, J. R. (2013). "Bod1 regulates protein phosphatase 2A at mitotic kinetochores". Nature Communications. 4: 2677. Bibcode:2013NatCo...4.2677P. doi:10.1038/ncomms3677. PMC   3826647 . PMID   24157919.
  7. Esmaeeli-Nieh, Sahar; Fenckova, Michaela; Porter, Iain M.; Motazacker, M. Mahdi; Nijhof, Bonnie; Castells-Nobau, Anna; Asztalos, Zoltan; Weißmann, Robert; Behjati, Farkhondeh; Tzschach, Andreas; Felbor, Ute; Scherthan, Harry; Sayfati, Seyed Morteza; Ropers, H. Hilger.; Kahrizi, Kimia; Najmabadi, Hossein; Swedlow, Jason R.; Schenck, Annette; Kuss, Andreas W. (2016). "BOD1 Is Required for Cognitive Function in Humans and Drosophila". PLOS Genetics. 12 (5): e1006022. doi: 10.1371/journal.pgen.1006022 . PMC   4864283 . PMID   27166630.
  8. Zdańkowski, Piotr; Trusiak, Maciej; McGloin, David; Swedlow, Jason R. (2020). "Numerically Enhanced Stimulated Emission Depletion Microscopy with Adaptive Optics for Deep-Tissue Super-Resolved Imaging" (PDF). ACS Nano. 14 (1): 394–405. doi:10.1021/acsnano.9b05891. PMID   31841303. S2CID   209388232.
  9. Swedlow, J. R.; Goldberg, I.; Brauner, E.; Sorger, P. K. (2003). "Informatics and Quantitative Analysis in Biological Imaging". Science. 300 (5616): 100–102. Bibcode:2003Sci...300..100S. doi:10.1126/science.1082602. PMC   3522889 . PMID   12677061.
  10. Goldberg, I. G.; Allan, C.; Burel, J. M.; Creager, D.; Falconi, A.; Hochheiser, H.; Johnston, J.; Mellen, J.; Sorger, P. K.; Swedlow, J. R. (2005). "The Open Microscopy Environment (OME) Data Model and XML file: Open tools for informatics and quantitative analysis in biological imaging". Genome Biology. 6 (5): R47. doi: 10.1186/gb-2005-6-5-r47 . PMC   1175959 . PMID   15892875.
  11. Swedlow, J. R.; Goldberg, I. G.; Eliceiri, K. W.; Ome, C. (2009). "Bioimage Informatics for Experimental Biology*". Annual Review of Biophysics. 38: 327–346. doi:10.1146/annurev.biophys.050708.133641. PMC   3522875 . PMID   19416072.
  12. Allan, C.; Burel, J. M.; Moore, J.; Blackburn, C.; Linkert, M.; Loynton, S.; MacDonald, D.; Moore, W. J.; Neves, C.; Patterson, A.; Porter, M.; Tarkowska, A.; Loranger, B.; Avondo, J.; Lagerstedt, I.; Lianas, L.; Leo, S.; Hands, K.; Hay, R. T.; Patwardhan, A.; Best, C.; Kleywegt, G. J.; Zanetti, G.; Swedlow, J. R. (2012). "OMERO: Flexible, model-driven data management for experimental biology". Nature Methods. 9 (3): 245–253. doi:10.1038/nmeth.1896. PMC   3437820 . PMID   22373911.
  13. Burel, JM; Besson, S; Blackburn, C; Carroll, M; Ferguson, RK; Flynn, H; Gillen, K; Leigh, R; Li, S; Lindner, D; Linkert, M; Moore, WJ; Ramalingam, B; Rozbicki, E; Tarkowska, A; Walczysko, P; Allan, C; Moore, J; Swedlow, JR (2015). "Publishing and sharing multi-dimensional image data with OMERO". Mammalian Genome. 26 (9–10): 441–7. doi:10.1007/s00335-015-9587-6. PMC   4602067 . PMID   26223880.
  14. Li, S; Besson, S; Blackburn, C; Carroll, M; Ferguson, RK; Flynn, H; Gillen, K; Leigh, R; Lindner, D; Linkert, M; Moore, WJ; Ramalingam, B; Rozbicki, E; Rustici, G; Tarkowska, A; Walczysko, P; Williams, E; Allan, C; Burel, JM; Moore, J; Swedlow, JR (2016). "Metadata management for high content screening in OMERO". Methods. 96: 27–32. doi:10.1016/j.ymeth.2015.10.006. PMC   4773399 . PMID   26476368.
  15. Williams E, Moore J, Li SW, Rustici G, Tarkowska A, Chessel A, et al. (2017). "The Image Data Resource: A Bioimage Data Integration and Publication Platform". Nat Methods. 14 (8): 775–781. doi:10.1038/nmeth.4326. PMC   5536224 . PMID   28775673.
  16. Ellenberg, Jan; Swedlow, Jason R.; Barlow, Mary; Cook, Charles E.; Sarkans, Ugis; Patwardhan, Ardan; Brazma, Alvis; Birney, Ewan (2018). "A call for public archives for biological image data". Nature Methods. 15 (11): 849–854. doi: 10.1038/s41592-018-0195-8 . PMC   6884425 . PMID   30377375.
  17. Besson, Sébastien; Leigh, Roger; Linkert, Melissa; Allan, Chris; Burel, Jean-Marie; Carroll, Mark; Gault, David; Gozim, Riad; Li, Simon; Lindner, Dominik; Moore, Josh; Moore, Will; Walczysko, Petr; Wong, Frances; Swedlow, Jason R. (2019). "Bringing Open Data to Whole Slide Imaging". Digital Pathology. Lecture Notes in Computer Science. Vol. 11435. pp. 3–10. doi:10.1007/978-3-030-23937-4_1. ISBN   978-3-030-23936-7. PMC   6774793 . PMID   31579322.{{cite book}}: |journal= ignored (help)
  18. Moore, Josh; Allan, Chris; Besson, Sébastien; Burel, Jean-Marie; Diel, Erin; Gault, David; Kozlowski, Kevin; Lindner, Dominik; Linkert, Melissa; Manz, Trevor; Moore, Will; Pape, Constantin; Tischer, Christian; Swedlow, Jason R. (December 2021). "OME-NGFF: a next-generation file format for expanding bioimaging data-access strategies". Nature Methods. 18 (12): 1496–1498. doi: 10.1038/s41592-021-01326-w . PMC   8648559 . PMID   34845388.