GOALS
Pancreatic ductal adenocarcinoma, the most common pancreatic cancer type, accounts for less than 3% of all cancers, but it remains the third leading cause of cancer-related deaths, both for men and women in the United States with 53,000 estimated new cases and an 80% death rate in one year. Pancreatic cancer has extremely poor outcome, is likely to metastasize even after resection and clearly calls for novel and accurate diagnostic methods.
High Definition infrared (IR) imaging is novel, powerful technique which recently has been employed for chemical tissue imaging and holds great potential for accurate cancer diagnosis. The main goal of this project is to employ chemical imaging in the form of High Definition IR imaging, to create a comprehensive description of pancreatic tissue and cancer related changes. This will form a basis on which an intraoperative cancer margins detection method can be established and also enables personalized medicine with a more precise diagnosis of the cancer type. This study will establish a baseline of what can be achieved in terms of histopathology of pancreatic cancer using IR imaging and is an absolute prerequisite for any clinical translation.
Pancreatic ductal adenocarcinoma, the most common pancreatic cancer type, accounts for less than 3% of all cancers, but it remains the third leading cause of cancer-related deaths, both for men and women in the United States with 53,000 estimated new cases and an 80% death rate in one year. Pancreatic cancer has extremely poor outcome, is likely to metastasize even after resection and clearly calls for novel and accurate diagnostic methods.
High Definition infrared (IR) imaging is novel, powerful technique which recently has been employed for chemical tissue imaging and holds great potential for accurate cancer diagnosis. The main goal of this project is to employ chemical imaging in the form of High Definition IR imaging, to create a comprehensive description of pancreatic tissue and cancer related changes. This will form a basis on which an intraoperative cancer margins detection method can be established and also enables personalized medicine with a more precise diagnosis of the cancer type. This study will establish a baseline of what can be achieved in terms of histopathology of pancreatic cancer using IR imaging and is an absolute prerequisite for any clinical translation.
Team
Paulina Kozioł
Research Technician
M.S. Medical Physics, AGH University of Science and Technology
Justyna Skibińska
Master student
Biomedical Engineering, AGH University of Science and Technology
Magda Juszczyk
Master student
Medical Physics, AGH University of Science and Technology
News
Laboratory Technician position available!!
A position for technical personnel is available starting October 1st 2018.
Application deadline September 13th 2018.
A position for technical personnel is available starting October 1st 2018.
Application deadline September 13th 2018.
| oferta-pracy_homing_tpw.pdf |
| job-offer_for-laureates_homing_technician_tpw.docx |
PhD student position available!!
A position for a PhD student is available starting October 1st 2018.
Application deadline August 6th 2018.
File with position description, requirements and application procedure:
A position for a PhD student is available starting October 1st 2018.
Application deadline August 6th 2018.
File with position description, requirements and application procedure:
| job-offer_for-laureates_homing_phd_tpw.docx |
Laboratory Technician position available!!
A position for technical personnel is available starting October 1st 2017.
Application deadline September 15th 2017 by noon.
Link to the polish version of the offer:
https://www.ifj.edu.pl/person/praca/nienaukowe/2017/ogl13.pdf?lang=pl
A position for technical personnel is available starting October 1st 2017.
Application deadline September 15th 2017 by noon.
Link to the polish version of the offer:
https://www.ifj.edu.pl/person/praca/nienaukowe/2017/ogl13.pdf?lang=pl
| job-offer_for-laureates_homing_technician_tpw.docx |
New Master Students
Congratulations to Justyna Skibinska and Magda Juszczyk on joining the team with stipends from Foundation for Polish Science!!
Master Student position available!!
A 2-year position ending in a master thesis is available with a 2000 PLN per month stipend.
Application deadline 30th July 2017
The main goal of this student project is to employ chemical imaging in the form of High Definition IR imaging, to create a comprehensive description of pancreatic tissue and cancer related changes. Reaching these goals involves IR data acquisition of pancreatic tissues images (in the Institute of Nuclear Physics PAN, Krakow) and then creation of a classification/detection model based on machine learning methods (Random Forest, Neural Networks, etc.).
Good examples of the methodology:
1. “High Definition Infrared Spectroscopic Imaging for Lymph Node Histopathology”, L.S. Leslie, T.P. Wrobel, D. Mayerich, S. Bindra, R. Emmadi, R. Bhargava, PLoS ONE, 10(6), 2015, DOI: 10.1371/journal.pone.0127238 (download at the bottom)
2. “Infrared spectroscopic imaging for histopathologic recognition”, D.C. Fernandez, R. Bhargava, S.M. Hewitt, I.W. Levin, Nature Biotechnology, 23(4): 469–74, 2005, 10.1038/nbt1080
Link to the polish version of the offer:
www.fnp.org.pl/oferta_pracy/magistrant-chemia-biofizyka-obrazowanie-biomedyczne/
Application details in the file below:
Congratulations to Justyna Skibinska and Magda Juszczyk on joining the team with stipends from Foundation for Polish Science!!
Master Student position available!!
A 2-year position ending in a master thesis is available with a 2000 PLN per month stipend.
Application deadline 30th July 2017
The main goal of this student project is to employ chemical imaging in the form of High Definition IR imaging, to create a comprehensive description of pancreatic tissue and cancer related changes. Reaching these goals involves IR data acquisition of pancreatic tissues images (in the Institute of Nuclear Physics PAN, Krakow) and then creation of a classification/detection model based on machine learning methods (Random Forest, Neural Networks, etc.).
Good examples of the methodology:
1. “High Definition Infrared Spectroscopic Imaging for Lymph Node Histopathology”, L.S. Leslie, T.P. Wrobel, D. Mayerich, S. Bindra, R. Emmadi, R. Bhargava, PLoS ONE, 10(6), 2015, DOI: 10.1371/journal.pone.0127238 (download at the bottom)
2. “Infrared spectroscopic imaging for histopathologic recognition”, D.C. Fernandez, R. Bhargava, S.M. Hewitt, I.W. Levin, Nature Biotechnology, 23(4): 469–74, 2005, 10.1038/nbt1080
Link to the polish version of the offer:
www.fnp.org.pl/oferta_pracy/magistrant-chemia-biofizyka-obrazowanie-biomedyczne/
Application details in the file below:
| job-offer_for-laureates_homing_tpw.docx |
| high_definition_infrared_spectroscopic_imaging_for_lymph_node_histopathology.pdf |
