Where the Earth Meets the Sky

Session

Poster session 1

27 May 2021, 13:30

Description

Posters are presented virtually, by playing a pre-recorded presentation. After each video it is possible to ask questions to the authors.

23. The AstroPath Image Acquisition and Segmentation Workflow

Benjamin GREEN (Johns Hopkins University)

27/05/2021, 13:30

Images

Poster

Multidimensional, spatially resolved analyses of cells from pathology slides are of great diagnostic and prognostic interest. New multispectral, multiplex immunofluorescence microscopy platforms have the potential to facilitate such analyses, and here, we further improve and standardize the image acquisition and cell classification workflow. Studies to date on this emerging technology have...

4. Automated morphological decomposition of galaxies in large imaging surveys

Sarah CASURA (Universität Hamburg, Germany)

27/05/2021, 13:35

Models and Inference

Poster

Many studies of the properties and evolution of galaxies need reliable structural parameters of their components. There is no "universal solution" to this problem yet due to the diversity of the galaxy population along with the evolving quality of images (in terms of depth, resolution, wavelength coverage and data volume). We present our efforts to decompose ~13000 galaxies from the Galaxy and...

15. Building Seamless Whole Slide Multiplex Images in the AstroPath Project

Jeffrey ROSKES (Johns Hopkins University)

27/05/2021, 13:40

Images

Poster

The analysis of microscope images is rapidly advancing. Where previously most analyses relied on manual inspection of certain regions of images, advanced quantitative techniques are now being utilized to analyze large sets of entire images at high magnifications. Current multiplex microscopy for cancer imaging in the AstroPath project relies on collecting more than a thousand high resolution...

5. ODUSSEAS: a machine learning tool to derive effective temperature and metallicity for M dwarf stars

Alexandros ANTONIADIS KARNAVAS (Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto)

27/05/2021, 13:45

Models and Inference

Poster

The derivation of spectroscopic parameters for M dwarf stars is very important in the fields of stellar and exoplanet characterization.
We present our easy-to-use computational tool ODUSSEAS, which is based on the measurement of the pseudo equivalent widths for more than 4000 stellar absorption lines and on the use of the machine learning Python package "scikit-learn" for predicting the...