Nonlinear image scanning microscopy using saturated excitation

Kenta Temma; Ryosuke Oketani; René Lachmann; Toshiki Kubo; Nicholas Isaac Smith; Rainer Heintzmann; Katsumasa Fujita

doi:10.1117/12.2606489

2 March 2022 Nonlinear image scanning microscopy using saturated excitation

Kenta Temma, Ryosuke Oketani, René Lachmann, Toshiki Kubo, Nicholas Isaac Smith, Rainer Heintzmann, Katsumasa Fujita

Proceedings Volume PC11966, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIX; PC119660A (2022) https://doi.org/10.1117/12.2606489
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Saturated-excitation (SAX) improves the spatial resolution of laser scanning microscopy in three dimensions by inducing nonlinear fluorescence signals that localize within a focus spot. However, the spatial resolution of SAX microscopy is practically limited by the signal-to-noise ratio (SNR). In this research, we introduce image scanning microscopy (ISM) to improve the SNR of SAX microscopy. The improvement of the SNR by ISM enables the detection of weak nonlinear signal components and contributes to the improvement of the spatial resolution of SAX microscopy in practice.

Conference Presentation

Citation Download Citation

Kenta Temma, Ryosuke Oketani, René Lachmann, Toshiki Kubo, Nicholas Isaac Smith, Rainer Heintzmann, and Katsumasa Fujita "Nonlinear image scanning microscopy using saturated excitation", Proc. SPIE PC11966, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIX, PC119660A (2 March 2022); https://doi.org/10.1117/12.2606489

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available