The world’s natural history collections contain at least 2 billion specimens (Ariño 2010), representing a unique data source for answering fundamental scientific questions about ecological, evolutionary, and geological processes. Unlocking this treasure trove of data, stored in thousands of museum drawers and cabinets, is crucial to help map a sustainable future for ourselves and the natural systems on which we depend. The rate-limiting steps in the digitisation of natural history collections often involve specimen handling, due to their fragile nature. Insects comprise the single largest collection type in the Natural History Museum, London (NHM) and in many other collections, reflecting their global diversity and multiplicity. The NHM pinned insect collection, estimated at 25 million specimens, will take over 700 person years to digitise at current rates (Price et al. 2018: estimated from Blagoderov et al. 2017).<br> In order to ramp up digitisation, we have developed ALICE for Angled Label Image Capture and Extraction from pinned insects. This multi-camera setup (Fig. 1) and associated software processing pipeline, enables primary data capture from angled images, without removal of the labels from the specimen pin. As a result ALICE enables a single user to sustainably digitise (add a catalogue label, image and prepare images for database import) over 800 specimens per day (Price et al. 2018), allowing us to digitally unlock large parts of the insect collection (e.g., Hymenoptera, Diptera, Coleoptera) at up to seven times the previous rate.<br> We are continuing to refine hardware approaches to reduce specimen handling and extract data, for both human and machine interpretation, from labels without removing them from the object. More recently we are also trialing multiple mirrors in our Mirror Angled Label Image Capture Equipment (MALICE) (Fig. 2) or a rotating stage for our Vial Image Label Extraction (VILE) (Fig. 3) aimed at spirit-preserved specimens housed in vials. In this talk, we will outline the current approaches in use at the Natural History Museum, next generation prototypes, and challenges that need to be addressed before these techniques can be fully optimized.
