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Over the past two decades, digital holographic microscopy (DHM) has evolved from a label-free optical imaging technique into a quantitative tool for probing cellular structure and dynamics. This lecture will present key instrumental advances, including polychromatic DHM, enabling high-precision phase measurements, together with strategies to translate quantitative phase signals into biophysical cellular parameters and processes. Combined with iPSC-derived human neurons and artificial intelligence, this approach enables the identification of disease-specific functional signatures of neuropsychiatric disorders. It reveals promising biomarkers for bipolar disorder and schizophrenia, with potential impact on diagnosis, treatment, and mechanistic understanding.
Pierre Marquet, MD-PhD, is a clinician-scientist psychiatrist and Professor of Psychiatry. He previously held the Canada Excellence Research Chair in Neurophotonics (2015–2023). Trained in engineering physics (EPFL) and medicine, he has pioneered digital holographic microscopy to investigate cellular biophysics. He directs the Joint International Research Unit in Neurodevelopment and Child Psychiatry (University of Lausanne, Lausanne University Hospital, Université Laval). His research integrates quantitative phase imaging, iPSC-derived human neurons, and artificial intelligence to identify functional cellular biomarkers of neuropsychiatric disorders.
