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1.
PLoS Biol ; 19(3): e3001161, 2021 03.
Article in English | MEDLINE | ID: mdl-33788834

ABSTRACT

Scientists routinely use images to display data. Readers often examine figures first; therefore, it is important that figures are accessible to a broad audience. Many resources discuss fraudulent image manipulation and technical specifications for image acquisition; however, data on the legibility and interpretability of images are scarce. We systematically examined these factors in non-blot images published in the top 15 journals in 3 fields; plant sciences, cell biology, and physiology (n = 580 papers). Common problems included missing scale bars, misplaced or poorly marked insets, images or labels that were not accessible to colorblind readers, and insufficient explanations of colors, labels, annotations, or the species and tissue or object depicted in the image. Papers that met all good practice criteria examined for all image-based figures were uncommon (physiology 16%, cell biology 12%, plant sciences 2%). We present detailed descriptions and visual examples to help scientists avoid common pitfalls when publishing images. Our recommendations address image magnification, scale information, insets, annotation, and color and may encourage discussion about quality standards for bioimage publishing.


Subject(s)
Pictorial Works as Topic/trends , Writing/standards , Biomedical Research , Communication , Humans , Periodicals as Topic , Publications/standards , Publishing/trends , Scholarly Communication
3.
Thomson, Scott A; Pyle, Richard L; Ahyong, Shane T; Alonso-Zarazaga, Miguel; Ammirati, Joe; Araya, Juan Francisco; Ascher, John S; Audisio, Tracy Lynn; Azevedo-Santos, Valter M; Bailly, Nicolas; Baker, William J; Balke, Michael; Barclay, Maxwell V. L; Barrett, Russell L; Benine, Ricardo C; Bickerstaff, James R. M; Bouchard, Patrice; Bour, Roger; Bourgoin, Thierry; Boyko, Christopher B; Breure, Abraham S. H; Brothers, Denis J; Byng, James W; Campbell, David; Ceriaco, Luis M. P; Cernak, Istvan; Cerretti, Pierfilippo; Chang, Chih-Han; Cho, Soowon; Copus, Joshua M; Costello, Mark J; Cseh, Andras; Csuzdi, Csaba; Culham, Alastair; D'Elia, Guillermo; d'Acoz, Cedric d'Udekem; Daneliya, Mikhail E; Dekker, Rene; Dickinson, Edward C; Dickinson, Timothy A; van Dijk, Peter Paul; Dijkstra, Klaas-Douwe B; Dima, Balint; Dmitriev, Dmitry A; Duistermaat, Leni; Dumbacher, John P; Eiserhardt, Wolf L; Ekrem, Torbjorn; Evenhuis, Neal L; Faille, Arnaud; Fernandez-Trianam, Jose L; Fiesler, Emile; Fishbein, Mark; Fordham, Barry G; Freitas, Andre V. L; Friol, Natalia R; Fritz, Uwe; Froslev, Tobias; Funk, Vicki A; Gaimari, Stephen D; Garbino, Guilherme S. T; Garraffoni, Andre R. S; Geml, Jozsef; Gill, Anthony C; Gray, Alan; Grazziotin, Felipe Gobbi; Greenslade, Penelope; Gutierrez, Eliecer E; Harvey, Mark S; Hazevoet, Cornelis J; He, Kai; He, Xiaolan; Helfer, Stephan; Helgen, Kristofer M; van Heteren, Anneke H; Garcia, Francisco Hita; Holstein, Norbert; Horvath, Margit K; Hovenkamp, Peter H; Hwang, Wei Song; Hyvonen, Jaakko; Islam, Melissa B; Iverson, John B; Ivie, Michael A; Jaafar, Zeehan; Jackson, Morgan D; Jayat, J. Pablo; Johnson, Norman F; Kaiser, Hinrich; Klitgard, Bente B; Knapp, Daniel G; Kojima, Jun-ichi; Koljalg, Urmas; Kontschan, Jeno; Krell, Frank-Thorsten; Krisai-Greilhuberm, Irmgard; Kullander, Sven; Latelle, Leonardo; Lattke, John E; Lencioni, Valeria; Lewis, Gwilym P; Lhano, Marcos G; Lujan, Nathan K; Luksenburg, Jolanda A; Mariaux, Jean; Marinho-Filho, Jader; Marshall, Christopher J; Mate, Jason F; McDonough, Molly M; Michel, Ellinor; Miranda, Vitor F. O; Mitroiulm, Mircea-Dan; Molinari, Jesus; Monks, Scott; Moore, Abigail J; Moratelli, Ricardo; Muranyi, David; Nakano, Takafumi; Nikolaeva, Svetlana; Noyes, John; Ohl, Michael; Oleas, Nora H; Orrell, Thomas; Pall-Gergele, Barna; Pape, Thomas; Papp, Viktor; Parenti, Lynne R; Patterson, David; Pavlinov, Igor Ya; Pine, Ronald H; Poczai, Peter; Prado, Jefferson; Prathapan, Divakaran; Rabeler, Richard K; Randall, John E; Rheindt, Frank E; Rhodin, Anders G. J; Rodriguez, Sara M; Rogers, D. Christopher; Roque, Fabio de O; Rowe, Kevin C; Ruedas, Luis A; Salazar-Bravo, Jorge; Salvador, Rodrigo B; Sangster, George; Sarmiento, Carlos E; Schigel, Dmitry S; Schmidt, Stefan; Schueler, Frederick W; Segers, Hendrik; Snow, Neil; Souza-Dias, Pedro G. B; Stals, Riaan; Stenroos, Soili; Stone, R. Douglas; Sturm, Charles F; Stys, Pavel; Teta, Pablo; Thomas, Daniel C; Timm, Robert M; Tindall, Brian J; Todd, Jonathan A; Triebel, Dagmar; Valdecasas, Antonio G; Vizzini, Alfredo; Vorontsova, Maria S; de Vos, Jurriaan M; Wagner, Philipp; Watling, Les; Weakley, Alan; Welter-Schultes, Francisco; Whitmore, Daniel; Wilding, Nicholas; Will, Kipling; Williams, Jason; Wilson, Karen; Winston, Judith E; Wuster, Wolfgang; Yanega, Douglas; Yeates, David K; Zaher, Hussam; Zhang, Guanyang; Zhang, Zhi-Qiang; Zhou, Hong-Zhang.
PLoS. Biol. ; 16(3): e2005075, 2018.
Article in English | Sec. Est. Saúde SP, SESSP-IBPROD, Sec. Est. Saúde SP | ID: but-ib15045
4.
PLoS One ; 12(3): e0172641, 2017.
Article in English | MEDLINE | ID: mdl-28328931

ABSTRACT

We explore the potential of x-ray micro computed tomography (µCT) for the field of ant taxonomy by using it to enhance the descriptions of two remarkable new species of the ant genus Terataner: T. balrog sp. n. and T. nymeria sp. n.. We provide an illustrated worker-based species identification key for all species found on Madagascar, as well as detailed taxonomic descriptions, which include diagnoses, discussions, measurements, natural history data, high-quality montage images and distribution maps for both new species. In addition to conventional morphological examination, we have used virtual reconstructions based on volumetric µCT scanning data for the species descriptions. We also include 3D PDFs, still images of virtual reconstructions, and 3D rotation videos for both holotype workers and one paratype queen. The complete µCT datasets have been made available online (Dryad, https://datadryad.org) and represent the first cybertypes in ants (and insects). We discuss the potential of µCT scanning and critically assess the usefulness of cybertypes for ant taxonomy.


Subject(s)
Ants/classification , Animal Distribution/physiology , Animals , Imaging, Three-Dimensional/methods , Madagascar , X-Ray Microtomography/methods
5.
Zookeys ; (693): 33-93, 2017.
Article in English | MEDLINE | ID: mdl-29362522

ABSTRACT

New technologies for imaging and analysis of morphological characters offer opportunities to enhance revisionary taxonomy and better integrate it with the rest of biology. In this study, we revise the Afrotropical fauna of the ant genus Zasphinctus Wheeler, and use high-resolution X-ray microtomography (micro-CT) to analyse a number of morphological characters of taxonomic and biological interest. We recognise and describe three new species: Z. obamaisp. n., Z. sarowiwaisp. n., and Z. wilsonisp. n. The species delimitations are based on the morphological examination of all physical specimens in combination with 3D scans and volume reconstructions. Based on this approach, we present a new taxonomic discrimination system for the regional fauna that consists of a combination of easily observable morphological characters visible at magnifications of around 80-100 ×, less observable characters that require higher magnifications, as well as characters made visible through virtual dissections that would otherwise require destructive treatment. Zasphinctus are rarely collected ants and the material available to us is comparatively scarce. Consequently, we explore the use of micro-CT as a non-invasive tool for the virtual examination, manipulation, and dissection of such rare material. Furthermore, we delineate the treated species by providing a diagnostic character matrix illustrated by numerous images and supplement that with additional evidence in the form of stacked montage images, 3D PDFs and 3D rotation videos of scans of major body parts and full body (in total we provide 16 stacked montage photographs, 116 images of 3D reconstructions, 15 3D rotation videos, and 13 3D PDFs). In addition to the comparative morphology analyses used for species delimitations, we also apply micro-CT data to examine certain traits, such as mouthparts, cuticle thickness, and thoracic and abdominal muscles in order to assess their taxonomic usefulness or gain insights into the natural history of the genus. The complete datasets comprising the raw micro-CT data, 3D PDFs, 3D rotation videos, still images of 3D models, and coloured montage photos have been made available online as cybertypes (Dryad, http://dx.doi.org/10.5061/dryad.4s3v1).

6.
Zookeys ; (215): 77-102, 2012.
Article in English | MEDLINE | ID: mdl-22936872

ABSTRACT

The new spider genus and species Trogloraptor marchingtoni Griswold, Audisio & Ledford is described as the type of the new family Trogloraptoridae. The oblique membranous division of the basal segment of the anterior lateral spinnerets of Trogloraptor suggests that this haplogyne family is the sister group of the other Dysderoidea (Dysderidae, Oonopidae, Orsolobidae and Segestriidae). Trogloraptor is known only from caves and old growth forest understory in the Klamath-Siskiyou region of Oregon and California.

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