Past seminar

Computational phase microscopy: experimental and numerical ways to increase the signal-to-noise ratio

  • Speaker: PhD, DSc Maciej Trusiak

Optical microscopy plays a key role in the development of biology and biomedicine by enabling cell and tissue examination. Fluorescence techniques, although very capable, are based on time-consuming labeling and introduce the risk of photochemical stress and phototoxicity. Phase microscopy non- invasively uses an endogenous contrast agent in the form of a phase delay introduced locally by biological samples. Owing to their unique properties, phase microscopy methods open the possibility of studying live cell colonies. Well-established Zernike and Nomarski setups enable the qualitative examination of transparent cells with only a slight. yet pivotal, inOptical microscopy plays a key role in the development of biology and biomedicine by enabling cell and tissue examination. Fluorescence techniques, although very capable, are based on time-consuming labeling and introduce the risk of photochemical stress and phototoxicity. Phase microscopy non-invasively uses an endogenous contrast agent in the form of a phase delay introduced locally by biological samples. Owing to their unique properties, phase microscopy methods open the possibility of studying live cell colonies. Well-established Zernike and Nomarski selups enable the qualitative examination of transparent cells with only a slight, yet pivotal, increase in contrast. Quantitative phase imaging (QPI) has emerged to empower precise diagnostics and high-contrast imaging with very low background level. Numerical reconstruction plays a key role In QPI, however, which is not the case in fluorescence imaging or classical phase microscopy. I discuss three representative techniques of QPI microscopy and the basics of how their reconstruction algorithms work: (1) digital holographic microscopy (mainly using coherent illumination), (2) Fourier ptychographic microscopy (using mainly non- coherent radiation), and (3) lensless holographic microscopy (using partially coherent light). A summary of the advantages and disadvantages of the selected quantitative phase microscopy methods presented will provide an ouUine of the potential development paths In the pursuit of hybrid (experimental and numerical) signal-to-noise ratio improvement in a high-speed fashion. crease in contrast. Quantitative phase imaging (QPI) has emerged to empower precise diagnostics and high-contrast imaging with very low background level. Numerical reconstruction plays a key role in QPI, however, which is not the case in fluorescence imaging or classical phase microscopy. I discuss three representative techniques of QPI microscopy and the basics of how their reconstruction algorithms work: (1) digital holographic microscopy (mainly using coherent illumination), (2) Fourier ptychographic microscopy (using mainly non-coherent radiation), and (3) lensless holographic microscopy (using partially coherent light). A summary of the advantages and disadvantages of the selected quantitative phase microscopy methods presented will provide an outline of the potential development paths in the pursuit of hybrid (experimental and numerical) signal-lo-noise ratio improvement in a high-speed fashion

About the speaker

Associate Professor In Institute of Mlcromechanics and Photonics War-saw University of Technology

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