- 1 Imaging References
- 1.1 A Guide to Digitizing Insect Collections, by Sarah Ashworth and Jennifer Fogarty, 55 pages
- 1.2 A Strategic Plan for Establishing a Network Integrated Biocollections Alliance, produced by NSF.
- 1.3 Accelerating Taxonomic Discovery Through Automated Character Extraction, by J. LaSalle, Q. Wheeler, P. Jackway, S. Winterton, D. Hobern, D. Lovell, Zootaxa 2217:43-55.
- 1.4 Advanced Techniques for Imaging Parasitic Hymenoptera (Insecta), by M. L. Buffington, R.A. Burks, L. McNeil, American Entomologist.
- 1.5 Assembling the Custom Components for Specimen Imaging, Consortium of Pacific Northwest Herbaria, WTU Herbarium, Burke Museum, Version 1.0, by Ben Legler.
- 1.6 Australian Museum Data capture of specimen labels using volunteers, by John Tann & Paul Flemons.
- 1.7 Australian Museum Rapid Digitisation Project: A Guide to Handling and Digitising Archival Material - Registers by L. Prater, R. Stephens, and P. Flemons, 19 pp.
- 1.8 Automontage Imaging Guidelines, by AntWeb.
- 1.9 Avoiding twisted pixels: ethical guidelines for the appropriate use and manipulation of scientific digital images, by D. W. Cromey, Science and engineering ethics 16 (4) p. 639-67.
- 1.10 Biodiversity Informatics in Action: Identification and Monitoring of Bee Species Using ABIS, by Tom Arbuckle , Stefan Schröder , Volker Steinhage , Dieter Wittmann, Proc. 15th International Symposium Informatics for Environmental Protection, pp. 425-430.
- 1.11 BNHM Digitization Projects – Results of Survey.
- 1.12 Digital Bee Collection Network : DBCNet ( NSF-BRC Grant ), by Yanega.
- 1.13 Digital Imaging: Ethics, by D. Cromey, The University of Arizona.
- 1.14 Digitizing the Yale Collections – it takes a Village, by L. Munstermann and L. Gall.
- 1.15 Exchangeable image file format for digital still cameras : Exif Version 2.2 (2002).
- 1.16 Image Capture and Processing: An Overview, Consortium of Pacific Northwest Herbaria, by Ben Legler.
- 1.17 Imaging of Specimens: Issues to be Considered, by Larry Speers, Agriculture and Agri-Food Canada.
- 1.18 Innovative workflows for efficient data capture in an entomological collection: The MCZ Lepidoptera Rapid Data Capture Project, by P. J. Morris, R. Eastwood. L. S. Ford, B. Haley, N. E. Pierce.
- 1.19 Moving Theory into Practice: Digital Imaging Tutorial.
- 1.20 New York Botanical Garden Virtual Herbarium Best Practices Guide.
- 1.21 Report on trial of SatScan tray scanner system by SmartDrive Ltd., by V. Blagoderov, I. Kitching, T. Simonsen, V. Smith; Natural History Museum, London.
- 1.22 Semi-automated workflows for acquiring specimen data from label images in herbarium collections, Taxon, Volume 59, Number 6, pp. 1830-1842.
- 1.23 Specimen Imaging Documentation: Consortium of Pacific Northwest Herbaria, Version 4.0.
- 1.24 The AIC Guide to Digital Photography and Conservation Documentation
- 1.25 The use of specimen label images for efficient data acquisition in research collections cataloguing: Workflow, Ingio Granzow-de la Cerda, Juan Carols Gomez-Martinez, Jose Luis Garcia-Castillo.
- 1.26 Utility (and Shortcomings) of High Resolution Drawer Imaging for Remote Curation and Outreach, by M. Bertone, A. Deans, North Carolina State University.
This guide is offered to help anyone wanting to database and/or digitally image their collections. It is written in very simple terms since this work should not require a computer expert. This guide is based on digitizing a type collection so it is more rigorous and careful than may be necessary for other collections, particularly the archive protocol. The user should take or leave whatever information they feel is necessary. However, if the guide is to be used for a type collection, it is recommended that the degree of rigor, if not the actual protocol, be matched. Three different imaging setups are described, from a very inexpensive solution to the top of the range. These descriptions are not intended to prescribe the best or only setups, but to inform others about the setups we are using now as a result of over 5 years research-- much of this with limited budgets. We developed these under the guidance of Dr. Piotr Naskrecki, with early and continued assistance by Dr. Gary Alpert and Dr. Brian Farrell. In a similar way we describe a Filemaker Pro implementation called MANTIS. It is one of many database solutions for managing taxonomic information, but is recommended since it is easy to use, runs on both PC and Mac and is can be downloaded free from the web. It is also the creation of Piotr Naskrecki.
|URL|| http://digbiocol.files.wordpress.com/2010/08/niba_brochure.pdf# |
This report is a strategic plan for a 10-year effort to digitize and mobilize the scientific information associated with biological specimens held in U.S. research collections. The primary objective of the initiative is to create a national collections resource that will contribute critical information to U.S. scientific research and technology interests, and will aid in understanding the biodiversity dimensions and societal consequences of climate change, species invasions, natural disasters, the spread of disease vectors and agricultural pests and pollinators, and other environmental issues. Network Integrated Biocollections Alliance (NIBA) resources such as databases, network portals, and analytical tools will synthesize information contained in the nation’s collections and place them into national service for stakeholders in government, academia, business, K-12 education, informal science education, and the public. In 2015 the Advisory Council for the Network Integrated Biocollections Alliance Research Coordination Network decided to rename the intiative to better convey goals and objectives. NIBA is now the Biodiversity Collections Network (BCoN).
|Description||This paper discusses the following key messages. Taxonomy is (and taxonomists are) more important than ever in times of global change. Taxonomic endeavour is not occurring fast enough: in 250 years since the creation of the Linnean Systema Naturae, only about 20% of Earth’s species have been named. We need fundamental changes to the taxonomic process and paradigm to increase taxonomic productivity by orders of magnitude. Currently, taxonomic productivity is limited principally by the rate at which we capture and manage morphological information to enable species discovery. Many recent (and welcomed) initiatives in managing and delivering biodiversity information and accelerating the taxonomic process do not address this bottleneck. Development of computational image analysis and feature extraction methods is a crucial missing capacity needed to enable taxonomists to overcome the taxonomic impediment in a meaningful time frame.|
|Pub Date||Spring, 2005|
|Description||Digital imaging technology has revolutionized the practice of photographing insects for scientific study. This paper describes lighting techniques designed for imaging parasitic Hymenoptera in the superfamilies Chalcidoidea and Cynipoidea. Techniques described here are applicable to all small insects, as well as other invertebrates. The key to these techniques is the correct balance of light intensity and light dispersal. Once this balance is met, hymenopteran species as small as 0.75 mm can be readily imaged at a resolution suitable for publication. Surprisingly, a compound microscope can be used to image whole, unmounted insects in much the same way that a stereomicroscope is used.|
|Description||This document provides instructions for assembling the custom hardware components used for imaging specimens under the Consortium of Pacific Northwest Herbaria’s 2010-2013 collaborative NSF Grant. It is intended as a guide for similar projects elsewhere. However, the components described here are specific to our choice of imaging equipment and may not be suitable for use elsewhere. Also discussed here are the custom software scripts used for metadata capture, image processing, and image tiling. The tiling script creates a version of the image that can be viewed with the Gmap Image Viewer (http://www.rmh.uwyo.edu/gmapviewer/about.php), an online, open-source viewer created for use with herbarium specimens.|
|Pub Date||December 2008|
This is a report of an attempt to speed up the capture of information on the labels of specimens held by the Australian Museum. A trial was conducted using volunteers with a camera to photograph specimen labels and transcribe that data into a spreadsheet. Location information was georeferenced. The data in the resulting spreadsheet was then entered into EMu by a museum technician. Times and costs were compared to direct data entry, as well as with a previous trial using an off-shore data transcription service. The outcome of the trial was successful in clarifying the following. Importing data into EMu is not straightforward and is a specialist task. Having the data transcribed into a spreadsheet before import into EMu does not help. Errors, misspellings, and uncertainties on many of the labels meant that a spreadsheet of data became a clumsy and inefficient method of data entry. Photographing a label has advantages – a photograph becomes a verbatim record in the database of the label for later referral, and makes the data entry process quicker by about 20%, as well as easier and more convenient. Recommendations: The Australian museum could train and use a small team of volunteers to photograph specimen labels. These photographs would be saved on Emu as a record of the label, and subsequently used for data entry by AM technical staff. Investigate the Emu inline toolset as a possible route for engaging volunteers for accurate and reliable data entry.
|Pub Date||August 2011|
|Description||This publications documents methods for ditigizing printed records associated with museum collections.|
|Pub Date||June, 2010|
|Description||This presentation from AntWeb offers detailed information about imaging ant specimens using Automontage.|
|Description||Digital imaging has provided scientists with new opportunities to acquire and manipulate data using techniques that were difficult or impossible to employ in the past. Because digital images are easier to manipulate than film images, new problems have emerged. One growing concern in the scientific community is that digital images are not being handled with sufficient care. The problem is twofold: (1) the very small, yet troubling, number of intentional falsifications that have been identified, and (2) the more common unintentional, inappropriate manipulation of images for publication. Journals and professional societies have begun to address the issue with specific digital imaging guidelines. Unfortunately, the guidelines provided often do not come with instructions to explain their importance. Thus they deal with what should or should not be done, but not the associated 'why' that is required for understanding the rules. This article proposes 12 guidelines for scientific digital image manipulation and discusses the technical reasons behind these guidelines. These guidelines can be incorporated into lab meetings and graduate student training in order to provoke discussion and begin to bring an end to the culture of "data beautification".|
|Pub Date||October, 2001|
|Description||Bees, as the main pollinators of food crops, represent a critical natural resource which needs to be carefully exploited and managed. In recent years, however, destruction of bee's native habitats, infestations, and displacements of native bees by alien bee species have reduced and disturbed bee populations and this is already having considerable impact on global agriculture. A further concurrent problem is that there are probably fewer than 50 taxonomic experts worldwide able to identify bee species. ABIS (Automatic Bee Identification System) is a suite of software tools created for the identification and monitoring of bees. Bee species are rapidly and reliably determined from images of the bees' wings by means of linear and non-linear statistics in conjunction with image processing. Work is currently in progress to couple the bee identification tools within a geographic information system and to make a bee recognition service available over the Intemet.|
|Description||Results of a digitization survey by the Berkeley Natural History Museum assessing digitization efforts of various collections.|
|Description||This book addresses a number of important issues about the digital imaging of biological objects. These topics were explored in two workshops organised by the European Network for Biodiversity Information (ENBI), and the Global Biodiversity Information Facility (GBIF). With the digital imaging of a growing number of biological objects, it has become of great importance to agree on common approaches and standards. Such standardization is particularly important for natural history specimens so as to compare specimens often with only subtle differences in morphology. Emerging technologies are leading to exciting new opportunities in scientific studies and the field of biodiversity is notable among them. This publication includes serveral chapters on important issues, including color management, image file management, metadata standards and practices, and several approaches to varying organismal groups.|
|Description||Scientists are usually considered to be respected sources of information and there is the understanding within the scientific community that data must not be inappropriately manipulated or falsified. When this essay was first composed in 2001, there were very few written guidelines for scientists. Now some of the major professional societies have issued policy statements regarding digital imaging, and many scientific journals have revamped their instructions to authors to provide clearer guidance of how they require images to be handled. Publications like the Journal of Cell Biology have begun testing images in accepted articles to ensure compliance with their guidelines and the Office of Research Integrity (HHS) has been watching this issue closely. In this author’s experience the inappropriate manipulation of scientific digital images typically does not arise from an intent to deceive or to obscure information. More often the inappropriate manipulations are simply due to ignorance of basic principles. It seemed to this author that often what is needed is an explanation of why manipulations are right or wrong. These twelve guidelines are an attempt to address this issue. It should be noted that the author has extensive experience in the microscopic imaging of biological specimens and these guidelines reflect his personal experience in this field.|
|Description||Report presented at Entomology 2010 using KE EMu software; includes delineation of the protocols for curation, imaging, and databasing.|
|Description||This standard specifies the formats to be used for images, sound, and tags in digital still cameras and in other systems handling the image and sound files recorded by digital still cameras.|
|Pub Date||July 26, 2010|
|Description||This document describes the general processes used for image capture, image processing, data capture, and data/image dissemination used by the Consortium of Pacific Northwest Herbaria, as carried out under the Consortium’s 2010-2013 collaborative NSF Grant (DBI0956414). Details are omitted in an attempt to provide an overall understanding of the process.|
|Description||A short presentation on specimen vs. label imaging, with consideration of image type, format, storage, and work flow.|
|Description||Presentation made at Entomology 2010. Significant detail on the rapid data capture project at Museum of Comparative Zoology, including an efficient workflow.|
|Description||A survey on the challenges and concerns involved with digitizing natural history specimens was circulated to curators, collections managers, and administrators in the natural history community in the Spring of 2009, with over 200 responses received. The overwhelming barrier to digitizing collections was a lack of funding or issues directly related to funding, leaving institutions mostly responsible for providing the necessary support. The uneven digitization landscape leads to a patchy accumulation of records at varying qualities, and based on different priorities, ultimately influencing the data's fitness for use. The survey results also indicated that although the kind of specimens found in collections and their storage can be quite variable, there are many similar challenges across disciplines when digitizing including imaging, automated text scanning and parsing, geo-referencing, etc. Thus, better communication between domains could foster knowledge on digitization leading to efficiencies that could be disseminated through documentation of best practices and training.|
|Description||The purpose of this guide is to lay out the governing principles and procedures that have evolved over the ten years of experience with the NYBG Virtual Herbarium. Hopefully this document will be useful in future years in explaining the rationale behind the approach taken and decisions made along the way, and may be useful to other institutions who are just now embarking on a Virtual Herbarium project, or searching for comparative or benchmark data.|
|Pub Date||March 8-April 9, 2010|
|Description||Smartdrive Ltd. has developed a prototype imaging system, SatScan, that captures digitised images of large areas while keeping smaller objects in focus at very high resolution. The system was set up in the Sackler Biodiversity Imaging laboratory of Natural History Museum on March 8, 2010 for a one-month trial. A series of projects imaging parts of the entomological, botanical, and palaeoentomological collections were conducted to assess the system's utility for museum collection management and biodiversity research. The technical and practical limitations of the system were investigated as part of this process.The SatScan system facilitates the capturing of a very large number of good quality images in a very short time. Large parts of the NHM collection could be digitised in dorsal view extremely quickly. These images have a wide range of uses across research, collection management, and public engagement. Scalability of the system is limited by our desire to assign unique identifiers (a number and/or a barcode) to specimens, and the cropping of these images. Without these identifiers digitised images will have limited long term value. The assignment of specimen level identifiers is potentially labour intensive. Options for assigning identifiers were not investigated as part of this trail but include the use of physical labels on each specimen (with significant resource implications and a significant volunteer workforce) and the use of virtual identifiers (as a virtual layer over the image, perhaps automatically assigned, and possible coupled with physical labels attached to specimens as dictated by recuration activities). Intuitive software (with a web interface) needs to be developed to facilitate this process, including support for cropping of an image and the automatic assignment and printing of an identifier label. On-demand assignment of identifiers would allow us to prioritize the digitisation but it will represent a significant change to the way we curate our collections and would require sustained and ongoing support from Collection Management. Additional concerns relate to the amount of storage space required to manage images, connection with existing digital systems and the utility of dorsal images for certain parts of the collection. These problems need to be addressed as part of a larger scale study.|
|Pub Date||December 2010|
|Description||Computational workflow environments are an active area of computer science and informatics research; they promise to be effective for automating biological information processing for increasing research efficiency and impact. In this project, semi-automated data processing workflows were developed to test the efficiency of computerizing information contained in herbarium plant specimen labels. Our test sample consisted of mexican and Central American plant specimens held in the University of michigan Herbarium (MICH). The initial data acquisition process consisted of two parts: (1) the capture of digital images of specimen labels and of full-specimen herbarium sheets, and (2) creation of a minimal field database, or "pre-catalog", of records that contain only information necessary to uniquely identify specimens. For entering "pre-catalog" data, two methods were tested: key-stroking the information (a) from the specimen labels directly, or (b) from digital images of specimen labels. In a second step, locality and latitude/longitude data fields were filled in if the values were present on the labels or images. If values were not available, geo-coordinates were assigned based on further analysis of the descriptive locality information on the label. Time and effort for the various steps were measured and recorded. Our analysis demonstrates a clear efficiency benefit of articulating a biological specimen data acquisition workflow into discrete steps, which in turn could be individually optimized. First, we separated the step of capturing data from the specimen from most keystroke data entry tasks. We did this by capturing a digital image of the specimen for the first step, and also by limiting initial key-stroking of data to create only a minimal "pre-catalog" database for the latter tasks. By doing this, specimen handling logistics were streamlined to minimize staff time and cost. Second, by then obtaining most of the specimen data from the label images, the more intellectually challenging task of label data interpretation could be moved electronically out of the herbarium to the location of more highly trained specialists for greater efficiency and accuracy. This project used experts in the plants' country of origin, mexico, to verify localities, geography, and to derive geo-coordinates. Third, with careful choice of data fields for the "pre-catalog" database, specimen image files linked to the minimal tracking records could be sorted by collector and date of collection to minimize key-stroking of redundant data in a continuous series of labels, resulting in improved data entry efficiency and data quality.|
|Pub Date||November 11, 2011|
|Description||Detailed, step-by-step documentation for herbarium imaging/label capture from the Consortium of Pacific Northwest Herbaria.|
|Pub Date||Second Edition, 2011|
|Description||AIC has published the long-awaited second edition of the AIC Guide to Digital Photography and Conservation Documentation. This book is a comprehensive guide to digital photographic equipment, software, and processing tailored to the needs of conservation professionals. Authors Franziska Frey, Dawn Heller, Dan Kushel, Timothy Vitale, Jeffrey Warda (editor), and Gawain Weaver have more than doubled the size of the first edition, which includes major extensions and updates to the text and is fully illustrated with over 120 color figures. This second edition also has a wraparound internal spiral binding, allowing the book to lay flat.|
|Description||A presentation about an NSF-BRC project to digitize specimen of Mexican plants at the University of Michigan Herbarium, including consideration of equipment, work flow, and databasing.|
|Description||A very good presentation to Entomology 2010 about NCSU's drawer imaging system using Gigapan technology.|