WEBINAR | IR Map of the Human Cell: Label-Free Cellular Imaging with FTIR, Submicron O-PTIR and Raman

Groot-Ammers | September 8th, 2026

What if you could map the chemistry inside a human cell – without fluorescent labels or stains?

Cells are chemically crowded, spatially complex and notoriously difficult to interpret using conventional infrared microscopy alone. Professor Kamilla Malek and her colleagues are developing a clearer view by combining FTIR spectroscopy, submicron O-PTIR microscopy, Raman imaging and advanced chemometrics to transform overlapping vibrational spectra into meaningful maps of cellular composition.

 

 

DATE & TIME
When: Thursday, September 17th, 2026

Time: 11:00 – 12:00 (CET)

Drawing on the team’s recent Analytical Chemistry publication, “IR Map of the Human Cell”, and its broader research across 2D and 3D cellular models, Professor Malek will demonstrate how label-free vibrational imaging can distinguish nuclei, cytoplasm, lipid-rich and glycogen-rich regions—and reveal biochemical changes associated with differentiation, metabolism, disease and cell-cell interactions.

In this webinar, you’ll learn:

•    How FTIR, submicron O-PTIR and Raman imaging provide complementary views of cellular chemistry
•    How spectral “barcodes” differentiate nuclei, cytoplasm and lipid- or glycogen-rich cellular regions
•    How chemometrics and biomolecular reference modelling help unravel heavily overlapping biological spectra
•    How these approaches can phenotype bladder-cancer cells, monitor stem-cell differentiation and investigate neuronal spheroids and blood-brain-barrier models
•    What changes when vibrational imaging moves from isolated cells to complex 2D and 3D biological systems

Who should attend:

This webinar will be particularly valuable for researchers working in:

•    FTIR, O-PTIR and Raman microscopy
•    Single-cell and subcellular chemical imaging
•    Cell biology, cancer research and regenerative medicine
•    Neuroscience and blood-brain-barrier research
•    2D and 3D in vitro models
•    Chemometrics and label-free biological analysis

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