School of Earth Sciences - Research Publications

Permanent URI for this collection

Search Results

Now showing 1 - 3 of 3
  • Item
    Thumbnail Image
    An integrated mass spectrometry imaging and digital pathology workflow for objective detection of colorectal tumours by unique atomic signatures
    Paul, B ; Kysenius, K ; Hilton, JB ; Jones, MWM ; Hutchinson, RW ; Buchanan, DD ; Rosty, C ; Fryer, F ; Bush, A ; Hergt, JM ; Woodhead, JD ; Bishop, DP ; Doble, PA ; Hill, MM ; Crouch, PJ ; Hare, DJ (ROYAL SOC CHEMISTRY, 2021-08-14)
    Tumours are abnormal growths of cells that reproduce by redirecting essential nutrients and resources from surrounding tissue. Changes to cell metabolism that trigger the growth of tumours are reflected in subtle differences between the chemical composition of healthy and malignant cells. We used LA-ICP-MS imaging to investigate whether these chemical differences can be used to spatially identify tumours and support detection of primary colorectal tumours in anatomical pathology. First, we generated quantitative LA-ICP-MS images of three colorectal surgical resections with case-matched normal intestinal wall tissue and used this data in a Monte Carlo optimisation experiment to develop an algorithm that can classify pixels as tumour positive or negative. Blinded testing and interrogation of LA-ICP-MS images with micrographs of haematoxylin and eosin stained and Ki67 immunolabelled sections revealed Monte Carlo optimisation accurately identified primary tumour cells, as well as returning false positive pixels in areas of high cell proliferation. We analysed an additional 11 surgical resections of primary colorectal tumours and re-developed our image processing method to include a random forest regression machine learning model to correctly identify heterogenous tumours and exclude false positive pixels in images of non-malignant tissue. Our final model used over 1.6 billion calculations to correctly discern healthy cells from various types and stages of invasive colorectal tumours. The imaging mass spectrometry and data analysis methods described, developed in partnership with clinical cancer researchers, have the potential to further support cancer detection as part of a comprehensive digital pathology approach to cancer care through validation of a new chemical biomarker of tumour cells.
  • Item
    No Preview Available
    Thallium isotopic composition of phlogopite in kimberlite-hosted MARID and PIC mantle xenoliths
    Fitzpayne, A ; Prytulak, J ; Giuliani, A ; Hergt, J (ELSEVIER, 2020-01-05)
  • Item
    Thumbnail Image
    12,000-Year-old Aboriginal rock art from the Kimberley region, Western Australia
    Finch, D ; Gleadow, A ; Hergt, J ; Levchenko, VA ; Heaney, P ; Veth, P ; Harper, S ; Ouzman, S ; Myers, C ; Green, H (AMER ASSOC ADVANCEMENT SCIENCE, 2020-02)
    The Kimberley region in Western Australia hosts one of the world's most substantial bodies of indigenous rock art thought to extend in a series of stylistic or iconographic phases from the present day back into the Pleistocene. As with other rock art worldwide, the older styles have proven notoriously difficult to date quantitatively, requiring new scientific approaches. Here, we present the radiocarbon ages of 24 mud wasp nests that were either over or under pigment from 21 anthropomorphic motifs of the Gwion style (previously referred to as "Bradshaws") from the middle of the relative stylistic sequence. We demonstrate that while one date suggests a minimum age of c. 17 ka for one motif, most of the dates support a hypothesis that these Gwion paintings were produced in a relatively narrow period around 12,000 years ago.