
@article {91958,
	title = {Creating clear and informative image-based figures for scientific publications.},
	journal = {PLoS Biol},
	volume = {19},
	year = {2021},
	month = {2021 Mar 31},
	pages = {e3001161},
	abstract = {<p>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.</p>
},
	issn = {1545-7885},
	doi = {10.1371/journal.pbio.3001161},
	author = {Jambor, Helena and Antonietti, Alberto and Alicea, Bradly and Audisio, Tracy L and Auer, Susann and Bhardwaj, Vivek and Burgess, Steven J and Ferling, Iuliia and Gazda, Ma{\l}gorzata Anna and Hoeppner, Luke H and Ilangovan, Vinodh and Lo, Hung and Olson, Mischa and Mohamed, Salem Yousef and Sarabipour, Sarvenaz and Varma, Aalok and Walavalkar, Kaivalya and Wissink, Erin M and Weissgerber, Tracey L}
}
@article {3606,
	title = {A genome-wide resource for the analysis of protein localisation in Drosophila.},
	journal = {Elife},
	volume = {5},
	year = {2016},
	month = {2016},
	abstract = {<p>The Drosophila genome contains \&gt;13000 protein-coding genes, the majority of which remain poorly investigated. Important reasons include the lack of antibodies or reporter constructs to visualise these proteins. Here, we present a genome-wide fosmid library of 10000 GFP-tagged clones, comprising tagged genes and most of their regulatory information. For 880 tagged proteins, we created transgenic lines, and for a total of 207 lines, we assessed protein expression and localisation in ovaries, embryos, pupae or adults by stainings and live imaging approaches. Importantly, we visualised many proteins at endogenous expression levels and found a large fraction of them localising to subcellular compartments. By applying genetic complementation tests, we estimate that about two-thirds of the tagged proteins are functional. Moreover, these tagged proteins enable interaction proteomics from developing pupae and adult flies. Taken together, this resource will boost systematic analysis of protein expression and localisation in various cellular and developmental contexts.</p>
},
	issn = {2050-084X},
	doi = {10.7554/eLife.12068},
	author = {Sarov, Mihail and Barz, Christiane and Jambor, Helena and Hein, Marco Y and Schmied, Christopher and Suchold, Dana and Stender, Bettina and Janosch, Stephan and Kj, Vinay Vikas and Krishnan, R T and Krishnamoorthy, Aishwarya and Ferreira, Irene Rs and Ejsmont, Radoslaw K and Finkl, Katja and Hasse, Susanne and K{\"a}mpfer, Philipp and Plewka, Nicole and Vinis, Elisabeth and Schloissnig, Siegfried and Knust, Elisabeth and Hartenstein, Volker and Mann, Matthias and Ramaswami, Mani and VijayRaghavan, K and Tomancak, Pavel and Schnorrer, Frank}
}
