Capturing natural-colour 3D models of insects for species discovery

Collections of biological specimens are fundamental to scientific understanding and characterization of natural diversity. This paper presents a system for liberating useful information from physical collections by bringing specimens into the digital domain so they can be more readily shared, analyzed, annotated and compared. It focuses on insects and is strongly motivated by the desire to accelerate and augment current practices in insect taxonomy which predominantly use text, 2D diagrams and images to describe and characterize species. While these traditional kinds of descriptions are informative and useful, they cannot cover insect specimens "from all angles" and precious specimens are still exchanged between researchers and collections for this reason. Furthermore, insects can be complex in structure and pose many challenges to computer vision systems. We present a new prototype for a practical, cost-effective system of off-the-shelf components to acquire natural-colour 3D models of insects from around 3mm to 30mm in length. Colour images are captured from different angles and focal depths using a digital single lens reflex (DSLR) camera rig and two-axis turntable. These 2D images are processed into 3D reconstructions using software based on a visual hull algorithm. The resulting models are compact (around 10 megabytes), afford excellent optical resolution, and can be readily embedded into documents and web pages, as well as viewed on mobile devices. The system is portable, safe, relatively affordable, and complements the sort of volumetric data that can be acquired by computed tomography. This system provides a new way to augment the description and documentation of insect species holotypes, reducing the need to handle or ship specimens. It opens up new opportunities to collect data for research, education, art, entertainment, biodiversity assessment and biosecurity control.Comment: 24 pages, 17 figures, PLOS ONE journa

Towards high-throughput 3D insect capture for species discovery and diagnostics

Digitisation of natural history collections not only preserves precious information about biological diversity, it also enables us to share, analyse, annotate and compare specimens to gain new insights. High-resolution, full-colour 3D capture of biological specimens yields color and geometry information complementary to other techniques (e.g., 2D capture, electron scanning and micro computed tomography). However 3D colour capture of small specimens is slow for reasons including specimen handling, the narrow depth of field of high magnification optics, and the large number of images required to resolve complex shapes of specimens. In this paper, we outline techniques to accelerate 3D image capture, including using a desktop robotic arm to automate the insect handling process; using a calibrated pan-tilt rig to avoid attaching calibration targets to specimens; using light field cameras to capture images at an extended depth of field in one shot; and using 3D Web and mixed reality tools to facilitate the annotation, distribution and visualisation of 3D digital models.Comment: 2 pages, 1 figure, for BigDig workshop at 2017 eScience conferenc

A roadmap for semantically-enabled human device interactions

With the evolving Internet of Things (IoT), the number of smart devices we interact in our day-to-day life has significantly increased. The nature of human interaction with these devices must be perceived, because too much complexity could lead to the risk of IoT appearing unattractive for users or the system losing its efficiency, regardless of its potential. Therefore, it is important to address problems in Human Device Interactions to provide a high-quality User Experience (UX) in the emerging IoT. This paper proposes a roadmap to address the complexities associated with human smart device (sensor or actuator) interaction through a methodology that incorporates context awareness in Augmented Reality (AR) using semantic Web technologies. Further, we analyse the use of Natural User Interfaces (NUI), such as hand gestures and gaze, to provide noninvasive and intuitive interaction in optimising the user experience

The visual and beyond : characterizing experiences with auditory, haptic and visual data representations

Research in sonification and physicalization have expanded data representation techniques to include senses beyond the visual. Yet, little is known of how people interpret and make sense of haptic and sonic compared to visual representations. We have conducted two phenomenologically oriented comparative studies (applying the Repertory Grid and the Microphenomenological interview technique) to gather in-depth accounts of people's interpretation and experience of different representational modalities that included auditory, haptic and visual variations . Our findings show a rich characterization of these different representational modalities: our visually oriented representations engage through their familiarity, accuracy and easy interpretation, while our representations that stimulated auditory and haptic interpretation were experienced as more ambiguous, yet stimulated an engaging interpretation of data that involved the whole body. We describe and discuss in detail participants' processes of making sense and generating meaning using the modalities' unique characteristics, individually and as a group. Our research informs future research in the area of multimodal data representations from both a design and methodological perspective.Postprin

SARS-CoV-2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms

Abstract We modeled 3D structures of all SARS‐CoV‐2 proteins, generating 2,060 models that span 69% of the viral proteome and provide details not available elsewhere. We found that ˜6% of the proteome mimicked human proteins, while ˜7% was implicated in hijacking mechanisms that reverse post‐translational modifications, block host translation, and disable host defenses; a further ˜29% self‐assembled into heteromeric states that provided insight into how the viral replication and translation complex forms. To make these 3D models more accessible, we devised a structural coverage map, a novel visualization method to show what is—and is not—known about the 3D structure of the viral proteome. We integrated the coverage map into an accompanying online resource (https://aquaria.ws/covid) that can be used to find and explore models corresponding to the 79 structural states identified in this work. The resulting Aquaria‐COVID resource helps scientists use emerging structural data to understand the mechanisms underlying coronavirus infection and draws attention to the 31% of the viral proteome that remains structurally unknown or dark

Crop Updates 2002 - Lupins

This session covers twenty four papers from different authors: LUPIN INDUSTRY ISSUES AND RESEARCH DIRECTIONS ACKNOWLEDGMENTS Amelia McLarty LUPIN CONVENOR DEPARTMENT OF AGRICULTURE VARIETIES 1. Evaluation of lupinus mutabilis in Western Australia, Bob French, Laurie Wahlsten and Martin Harries, Department of Agriculture 2. Adaption of restricted-branching lupins in short-growing season environments, Bob French, Laurie Wahlsten, Department of Agriculture ESTABLISHMENT 3. Moisture delving for better lupin establishment, Dr Paul Blackwell, Department of Agriculture 4. Lupins, tramlines, 600mm rows, rolling and shield spraying … a good result in a dry season! Paul Blackwell and Mike Collins, Department of Agriculture 5. Lupin wider row spacing data and observations, Bill CrabtreeA, Geoff FosberyB, Angie RoeB, Mike CollinsCand Matt BeckettA,AWANTFA, BFarm Focus Consultants and CDepartment of Agriculture NUTRITION 6. Lupin genotypes respond differently to potash, Bob French and Laurie Wahlsten, Department of Agriculture 7. Consequence of radish competition on lupin nutrients in a wheat-lupin rotation, Abul Hashem and Nerys Wilkins, Department of Agriculture 8. Consequence of ryegrass competition on lupin nutrients in a wheat-lupin rotation, Abul Hashem and Nerys Wilkins, Department of Agriculture PESTS AND DISEASES 9. Fungicide sprays for control of lupin anthracnose, Geoff Thomas and Ken Adcock, Department of Agriculture 10. Estimated yield losses in lupin varieties from sowing anthracnose infected seed, Geoff Thomas, Department of Agriculture 11. Effect of variety and environment (northern and southern wheatbelt) on yield losses in lupins due to anthracnose, Geoff Thomas and Ken Adcock, Department of Agriculture, 12. A decision support system for the control of aphids and CMV in lupin crops, Debbie Thackray, Jenny Hawkes and Roger Jones, Centre for Legumes in Mediterranean Agriculture and Department of Agriculture 13. Integrated management strategies for virus diseases of lupin, Roger Jones, Crop Improvement Institute, Department of Agriculture, and Centre for Legumes in Mediterranean Agriculture, University of WA 14. Quantifying yield losses caused by the non-necrotic strain of BYMV in lupin, Roger Jones and Brenda Coutts, Department of Agriculture, and Centre for Legumes in Mediterranean Agriculture 15. Screening for pod resistance to phomopsis in various lupin species, Manisha Shankar1, Mark Sweetingham1&2and Bevan Buirchell2 1Co-operative Research Centre for Legumes in Mediterranean Agriculture, The University of Western Australia, 2 Department of Agriculture 16. Lupin disease diagnostics, Nichole Burges and Dominie Wright, Department of Agriculture QUALITY AND MARKET DEVELOPMENT 17. To GM or not to GM pulses – that is the question, Dr Susan J. Barker, The University of Western Australia 18. Towards a management package for grain protein in lupins, Bob French, Senior Research Officer, Department of Agriculture 19. Yield and seed protein response to foliar application of N among lupin genotypes, Jairo A Palta1&2, Bob French2&3and Neil C Turner1&2 , 1 CSIRO Plant Industry, Floreat Park, 2 CLIMA, University of Western Australia,3Department of Agriculture 20. Foliar nitrogen application to improve protein content in narrow-leafed lupin, Martin Harries, Bob French, Laurie Wahlsten, Department of Agriculture, Matt Evans, CSBP 21. Effect of time of swathing of lupins on grain protein content, Martin Harries, Department of Agriculture 22. Putting a value on protein premiums for the animal feed industries: Aquaculture, Brett Glencross and John Curnow, Department of Fisheries, Wayne Hawkins, Department of Agriculture 23. Progress in selecting for reduced seed hull and pod wall in lupin, Jon C. Clements, CLIMA, University of Western Australia 24. Contact details for principal author

Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial

SummaryBackground Azithromycin has been proposed as a treatment for COVID-19 on the basis of its immunomodulatoryactions. We aimed to evaluate the safety and efficacy of azithromycin in patients admitted to hospital with COVID-19.Methods In this randomised, controlled, open-label, adaptive platform trial (Randomised Evaluation of COVID-19Therapy [RECOVERY]), several possible treatments were compared with usual care in patients admitted to hospitalwith COVID-19 in the UK. The trial is underway at 176 hospitals in the UK. Eligible and consenting patients wererandomly allocated to either usual standard of care alone or usual standard of care plus azithromycin 500 mg once perday by mouth or intravenously for 10 days or until discharge (or allocation to one of the other RECOVERY treatmentgroups). Patients were assigned via web-based simple (unstratified) randomisation with allocation concealment andwere twice as likely to be randomly assigned to usual care than to any of the active treatment groups. Participants andlocal study staff were not masked to the allocated treatment, but all others involved in the trial were masked to theoutcome data during the trial. The primary outcome was 28-day all-cause mortality, assessed in the intention-to-treatpopulation. The trial is registered with ISRCTN, 50189673, and ClinicalTrials.gov, NCT04381936.Findings Between April 7 and Nov 27, 2020, of 16 442 patients enrolled in the RECOVERY trial, 9433 (57%) wereeligible and 7763 were included in the assessment of azithromycin. The mean age of these study participants was65·3 years (SD 15·7) and approximately a third were women (2944 [38%] of 7763). 2582 patients were randomlyallocated to receive azithromycin and 5181 patients were randomly allocated to usual care alone. Overall,561 (22%) patients allocated to azithromycin and 1162 (22%) patients allocated to usual care died within 28 days(rate ratio 0·97, 95% CI 0·87–1·07; p=0·50). No significant difference was seen in duration of hospital stay (median10 days [IQR 5 to >28] vs 11 days [5 to >28]) or the proportion of patients discharged from hospital alive within 28 days(rate ratio 1·04, 95% CI 0·98–1·10; p=0·19). Among those not on invasive mechanical ventilation at baseline, nosignificant difference was seen in the proportion meeting the composite endpoint of invasive mechanical ventilationor death (risk ratio 0·95, 95% CI 0·87–1·03; p=0·24).Interpretation In patients admitted to hospital with COVID-19, azithromycin did not improve survival or otherprespecified clinical outcomes. Azithromycin use in patients admitted to hospital with COVID-19 should be restrictedto patients in whom there is a clear antimicrobial indication

Capturing natural-colour 3D models of insects for species discovery and diagnostics

Collections of biological specimens are fundamental to scientific understanding and characterization of natural diversity - past, present and future. This paper presents a system for liberating useful information from physical collections by bringing specimens into the digital domain so they can be more readily shared, analyzed, annotated and compared. It focuses on insects and is strongly motivated by the desire to accelerate and augment current practices in insect taxonomy which predominantly use text, 2D diagrams and images to describe and characterize species. While these traditional kinds of descriptions are informative and useful, they cannot cover insect specimens "from all angles" and precious specimens are still exchanged between researchers and collections for this reason. Furthermore, insects can be complex in structure and pose many challenges to computer vision systems. We present a new prototype for a practical, cost-effective system of off-the-shelf components to acquire natural-colour 3D models of insects from around 3 mm to 30 mm in length. ("Natural-colour" is used to contrast with "false-colour", i.e., colour generated from, or applied to, gray-scale data post-acquisition.) Colour images are captured from different angles and focal depths using a digital single lens reflex (DSLR) camera rig and two-axis turntable. These 2D images are processed into 3D reconstructions using software based on a visual hull algorithm. The resulting models are compact (around 10 megabytes), afford excellent optical resolution, and can be readily embedded into documents and web pages, as well as viewed on mobile devices. The system is portable, safe, relatively affordable, and complements the sort of volumetric data that can be acquired by computed tomography. This system provides a new way to augment the description and documentation of insect species holotypes, reducing the need to handle or ship specimens. It opens up new opportunities to collect data for research, education, art, entertainment, biodiversity assessment and biosecurity control. © 2014 Nguyen et al