About This Webinar
Widefield optical photothermal infrared (O-PTIR), powered by fluorescence-detected photothermal infrared (FL-PTIR), is a novel multimodal approach for superresolution IR chemical imaging and spectroscopy, enabling sub-500 nm spatial resolution, the ability to obtain widefield, snapshot IR absorption images in seconds or less, and full hyperspectral image arrays in minutes. FL-PTIR achieves its measurement speed advantages by using 2-D camera-based detection of IR absorption-induced changes in fluorescent emission for both fluorescently labeled samples and autofluorescent biological materials.
A region of a sample is irradiated with pulses of MIR radiation from a tunable IR laser which induces local heating when the IR laser is tuned to an absorption band of molecular bonds within the sample. The resulting localized temperature increases in the sample cause a corresponding decrease in the fluorescent emission efficiency of fluorescently labelled and autofluorescent regions of the sample. Kansiz shares FL-PTIR images and spectra on fluorescently labelled and autofluorescent cells, brain tissue, and bacteria.
*** This presentation premiered during the
2024 BioPhotonics Conference. For more information on Photonics Media conferences and summits, visit
events.photonics.com
About the presenter
Mustafa Kansiz, Ph.D., is the director of product management and marketing for the mIRage IR microscope at Photothermal Spectroscopy Corp. with responsibilities in new product development, marketing, and applications development. He has over 25 years of experience working with FTIR, Raman microscopy, and imaging in routine and research applications in both industry and academia.
He has worked at Varian and Agilent Technologies serving in a range of technical and business development roles including FTIR microscopy and imaging product manager, product specialist, R&D scientist, and European FTIR sales manager. He has a doctorate from Monash University in biotechnological application of FTIR spectroscopy and multivariate statistics.