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A leading company is offering the AMBER Postdoctoral Fellowship in Heidelberg, focusing on developing a novel optical microscopy platform to enhance understanding of fertility. The role involves interdisciplinary collaboration and aims to bridge research and clinical applications in reproductive technologies.
Embl-Ebi
Heidelberg, Germany
Other
Yes
Not specified
2
13.05.2025
27.06.2025
Your role
Assisted reproductive technologies (ART) are becoming increasingly important for reproductive choices in our societies due to advancing age and increasing lifestyle diversity of new parents. Our understanding of the processes that limit fertility has advanced tremendously, driven by new optical imaging technologies such as light sheet fluorescence microscopy that can visualize such processes in oocytes and early embryos in mammalian laboratory models at the molecular and cellular scale. However, translating this progress to the fertility clinic to better understand, diagnose, and treat the causes of human infertility has been precluded by the lack of technologies that would allow crossing from the molecular and cellular scale, which is offered by advanced fluorescence technologies available in research infrastructures, to the physiological scale in the clinic, which must employ label-free imaging methods that do not perturb the fragile biological development at the beginning of life.
Our project aims to bridge the length scales of biology and medicine by developing a novel hybrid microscopy platform that uses the molecular specificity of fluorescence microscopy to computationally revolutionize the information content of label-free approaches. In an interdisciplinary collaboration with the EMBL Imaging Centre and research group of Robert Prevedel, as well as the University Hospital of Heidelberg, we will combine high-resolution fluorescence lightsheet microscopy with label-free optical coherence and Brillouin microscopies, which provide advanced morphological and mechanical features of the embryos, respectively. This multimodal data can then be used to train artificial intelligence (AI)-based models to recognize molecular and cellular changes from label-free images only. In this way, we will create a high-resolution cross-scale imaging platform that has the potential to close the gap between basic and clinical research by bringing molecular insights from the research laboratory to the fertility clinic and visualizing the currently hidden processes associated with infertility.
Contract duration: 3 years
Grading: Year 1 stipend - €4,010 per month after tax