Labοratory of Histology – Embryology
Lab of Histology – Embryology, Medical School, Democritus University of Thrace, 3rd building of Preclinical section, ground floor. The aim of this Laboratory is the histological study of human tissues and cells. Diagnostic approach, research studies on congenital malformations, virus infections or other diseases affecting the fetus during pregnancy (perinatal pathology). Focus on molecular histopathology of malignant neoplasms and experimental histopathology
Laboratory Details
Laboratory Title: Labοratory of Histology – Embryology
Faculty: Medical School
School: Medical School
Email: mlambro@med.duth.gr
Telephone: 2551030558
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Introduction - Presentation
Lab of Histology – Embryology, Medical School, Democritus University of Thrace, 3rd building of Preclinical section, ground floor. The aim of this Laboratory is the histological study of human tissues and cells. Diagnostic approach, research studies on congenital malformations, virus infections or other diseases affecting the fetus during pregnancy (perinatal pathology). Focus on molecular histopathology of malignant neoplasms and experimental histopathology
Field of Research
Laboratory Members
| Name | Position/Capacity | Telephone | |
|---|---|---|---|
| Maria Lambropoulou | Professor, Head of Laboratory | mlambro@med.duth.gr | |
| Theodora-Eleftheria Defteraiou | Assistant Prof. | tdeftera@med.duth.gr | |
| Achilleas Mitrakas | Adjunct Lecturer | amitrak@med.duth.gr |
Featured Research Programs
| Programme Title | Duration | Funding |
|---|---|---|
| 1. RESEARCH-CREATE-INNOVATE ROUND B. Operational Programme Competitiveness, Entrepreneurship and Innovation (EPAnEK) 2014-2020. 'Development of an advanced portable biophotonic system for personalized spectroscopic discrimination of cancerous tissues/margins' Total budget €1,000,000." The project was recognized by the GSRI (General Secretariat for Research and Innovation) as a Flagship initiative | 3 years (completed) | RESEARCH-CREATE-INNOVATE ROUND B. EPAnEK 2014-2020. |
| 2. Project submission titled: 'Development of a portable biophotonic colonoscope for the ENDOscopic SPECTRAL discrimination of colorectal cancer infiltration depth in real time-ENDOFASMA' under the call 'RESEARCH - INNOVATE | ||
| Real-time ENDOscopic SPECTRAL discrimination of colorectal cancer infiltration depth - ENDOFASMA" under the call "RESEARCH - INNOVATE | RESEARCH - INNOVATE: Round C, [PROJECT CODE: ΕΚΠΑΡ02-0075349] |
Featured Publications
| Chronological Order | APP | doi |
|---|---|---|
| Chromosomal Roadblocks in Male Fertility: Mechanisms, Risk Factors and Syndromes | doi.org/10.3390/medicina61101864 | |
| Protective Effect of Aromatic Plant Essential Oil Administration on Brain Tissue of PTZ-Treated and Non-Treated Mice | doi.org/10.3390/ijms26199618 | |
| An Immunohistochemical Study of MAGE Proteins in Hepatocellular Carcinoma | doi.org/10.3390/diagnostics14151692 | |
| Shedding Light on Colorectal Cancer: An In Vivo Raman Spectroscopy Approach Combined with Deep Learning Analysis. | https://doi.org/10.3390/ijms242316582 | |
| Biochemical differentiation between cancerous and normal human colorectal tissues by micro-Raman spectroscopy. | https://doi.org/10.1016/j.saa.2023.122852 |
Infrastructure and Equipment
Patents
| Patent Title | Patent Number | Publication Date | Inventor/Company | Summary | URL |
|---|---|---|---|---|---|
| "Method for the management, preprocessing, and analysis of Raman spectra from a portable spectrometer using machine learning algorithms for the intraoperative evaluation of neoplasms in human tissues." | Number 1010785. | 09.10.2024 | ALFA GAVANOUDIS TECHNOLOGIA EPIKOINONIES PLIROFORIKI ANONYMI ETAIREIA ME D T ALPHA PLIROFORIKI A E [GR | The method of processing raman spectra allows their electronic transfer storage and processing, by an artificial intelligence system installed on a server connected to the internet. The server runs algorithms and models according to which it can run both data for machine learning as well as receiving or sending data and measurements that need immediate prediction or diagnosis. So when we have available spectra taken either post-operatively or directly in the operating room (and during it) the system can receive the data, send it for processing, update the database and be informed by the corresponding Al algorithms and models to give accurate and direct information about the status of any neoplasms (cancers) that may be detected. The method was applied with high accuracy (>85% continuously improving) in the safe prediction of healthy and cancerous colorectal tissues. Biological samples were obtained from the Medical Schools of the University of Athens and the University of Thrace and the raman experiments were performed at the School of Applied Mathematics and Physical Sciences of the National Technical University of Athens. | https://gr.espacenet.com/publicationDetails/originalDocument?FT=D&date=20241009&DB=&locale=gr_GR&CC=GR&NR=1010785B&KC=B&ND=5 |
| Patent from the Hellenic Industrial Property Organisation. |
Spin Offs
There are no registered SpinOffs
