Evaluation of a gain-managed nonlinear fiber amplifier for multiphoton microscopy

Pavel Sidorenko; Michael Buttolph; Menansili Mejooli; Chi Yong Eom; Chris B. Schaffer; Frank Wise

doi:10.1364/BOE.485226

Evaluation of a gain-managed nonlinear fiber amplifier for multiphoton microscopy

Pavel Sidorenko, Michael Buttolph, Menansili Mejooli, Chi Yong Eom, Chris B. Schaffer, Frank Wise

Research output: Contribution to journal › Article › peer-review

Abstract

Two-photon excited fluorescence microscopy is a widely-employed imaging technique that enables the noninvasive study of biological specimens in three dimensions with submicrometer resolution. Here, we report an assessment of a gain-managed nonlinear (GMN) fiber amplifier for multiphoton microscopy. This recently-developed source delivers 58-nJ and 33-fs pulses at 31-MHz repetition rate. We show that the GMN amplifier enables high-quality deep-tissue imaging, and furthermore that the broad spectral bandwidth of the GMN amplifier can be exploited for superior spectral resolution when imaging multiple distinct fluorophores.

Original language	English
Pages (from-to)	2324-2332
Number of pages	9
Journal	Biomedical Optics Express
Volume	14
Issue number	5
DOIs	https://doi.org/10.1364/BOE.485226
State	Published - 1 May 2023
Externally published	Yes

All Science Journal Classification (ASJC) codes

Biotechnology
Atomic and Molecular Physics, and Optics

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10.1364/BOE.485226

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title = "Evaluation of a gain-managed nonlinear fiber amplifier for multiphoton microscopy",

abstract = "Two-photon excited fluorescence microscopy is a widely-employed imaging technique that enables the noninvasive study of biological specimens in three dimensions with submicrometer resolution. Here, we report an assessment of a gain-managed nonlinear (GMN) fiber amplifier for multiphoton microscopy. This recently-developed source delivers 58-nJ and 33-fs pulses at 31-MHz repetition rate. We show that the GMN amplifier enables high-quality deep-tissue imaging, and furthermore that the broad spectral bandwidth of the GMN amplifier can be exploited for superior spectral resolution when imaging multiple distinct fluorophores.",

author = "Pavel Sidorenko and Michael Buttolph and Menansili Mejooli and Eom, {Chi Yong} and Schaffer, {Chris B.} and Frank Wise",

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doi = "10.1364/BOE.485226",

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T1 - Evaluation of a gain-managed nonlinear fiber amplifier for multiphoton microscopy

AU - Sidorenko, Pavel

AU - Buttolph, Michael

AU - Mejooli, Menansili

AU - Eom, Chi Yong

AU - Schaffer, Chris B.

AU - Wise, Frank

PY - 2023/5/1

Y1 - 2023/5/1

N2 - Two-photon excited fluorescence microscopy is a widely-employed imaging technique that enables the noninvasive study of biological specimens in three dimensions with submicrometer resolution. Here, we report an assessment of a gain-managed nonlinear (GMN) fiber amplifier for multiphoton microscopy. This recently-developed source delivers 58-nJ and 33-fs pulses at 31-MHz repetition rate. We show that the GMN amplifier enables high-quality deep-tissue imaging, and furthermore that the broad spectral bandwidth of the GMN amplifier can be exploited for superior spectral resolution when imaging multiple distinct fluorophores.

AB - Two-photon excited fluorescence microscopy is a widely-employed imaging technique that enables the noninvasive study of biological specimens in three dimensions with submicrometer resolution. Here, we report an assessment of a gain-managed nonlinear (GMN) fiber amplifier for multiphoton microscopy. This recently-developed source delivers 58-nJ and 33-fs pulses at 31-MHz repetition rate. We show that the GMN amplifier enables high-quality deep-tissue imaging, and furthermore that the broad spectral bandwidth of the GMN amplifier can be exploited for superior spectral resolution when imaging multiple distinct fluorophores.

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U2 - 10.1364/BOE.485226

DO - 10.1364/BOE.485226

M3 - مقالة

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EP - 2332

JO - Biomedical Optics Express

JF - Biomedical Optics Express

IS - 5

ER -

Evaluation of a gain-managed nonlinear fiber amplifier for multiphoton microscopy

Abstract

All Science Journal Classification (ASJC) codes

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