Ultrafast optical imaging technology: principles and applications of emerging methods

Mikami, Hideharu; Gao, Liang; Goda, Keisuke

doi:10.1515/nanoph-2016-0026

Cited by 68 publications

(33 citation statements)

References 53 publications

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“…The optofluidic time‐stretch quantitative phase microscope is schematically shown in Figure A. This system is analogous to previously demonstrated optofluidic time‐stretch quantitative phase microscopes , but designed and customized for high‐throughput label‐free image cytometry of E. gracilis cells. As shown in Figure B, the optical source is a home‐built mode‐locked fiber laser with a center wavelength of 1030 nm, a broad bandwidth of 20 nm, a pulse repetition rate of 30 MHz, and an average output power of 25 mW.…”

Section: Methodsmentioning

confidence: 99%

High‐throughput, label‐free, single‐cell, microalgal lipid screening by machine‐learning‐equipped optofluidic time‐stretch quantitative phase microscopy

et al. 2017

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The development of reliable, sustainable, and economical sources of alternative fuels to petroleum is required to tackle the global energy crisis. One such alternative is microalgal biofuel, which is expected to play a key role in reducing the detrimental effects of global warming as microalgae absorb atmospheric CO 2 via photosynthesis. Unfortunately, conventional analytical methods only provide population-averaged lipid amounts and fail to characterize a diverse population of microalgal cells with single-cell resolution in a non-invasive and interference-free manner. Here high-throughput labelfree single-cell screening of lipid-producing microalgal cells with optofluidic timestretch quantitative phase microscopy was demonstrated. In particular, Euglena gracilis, an attractive microalgal species that produces wax esters (suitable for biodiesel and aviation fuel after refinement), within lipid droplets was investigated. The optofluidic time-stretch quantitative phase microscope is based on an integration of a hydrodynamic-focusing microfluidic chip, an optical time-stretch quantitative phase microscope, and a digital image processor equipped with machine learning. As a result, it provides both the opacity and phase maps of every single cell at a high throughput of 10,000 cells/s, enabling accurate cell classification without the need for fluorescent staining. Specifically, the dataset was used to characterize heterogeneous populations of E. gracilis cells under two different culture conditions (nitrogen-sufficient and nitrogen-deficient) and achieve the cell classification with an error rate of only 2.15%. The method holds promise as an effective analytical tool for microalgae-based biofuel production. V C 2017 International Society for Advancement of Cytometry

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Section: Methodsmentioning

confidence: 99%

High‐throughput, label‐free, single‐cell, microalgal lipid screening by machine‐learning‐equipped optofluidic time‐stretch quantitative phase microscopy

et al. 2017

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“…For example, imaging of a moving object at the velocity of 1 m s −1 with the resolution of 1 µm, requires a high frame rate of 1 Mfps. Such a frame rate is commonly constrained by electrical operation and limitation of storage in a camera . Utilizing a single‐pixel photodiode for detection and ultrashort pulses for illumination can overcome the frame rate restriction.…”

Section: Imaging Approaches For Dynamic Platformsmentioning

confidence: 99%

“…Such a frame rate is commonly constrained by electrical operation and limitation of storage in a camera. [113] Utilizing a single-pixel photodiode for detection and ultrashort pulses for illumination can overcome the frame rate restriction. However, unlike a camera sensor, a photodiode cannot form the image directly.…”

Section: Wwwsmall-journalcommentioning

confidence: 99%

Optical Imaging Approaches to Monitor Static and Dynamic Cell‐on‐Chip Platforms: A Tutorial Review

Arandian

Bagheri

Ehtesabi

et al. 2019

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Miniaturized laboratories on chip platforms play an important role in handling life sciences studies. The platforms may contain static or dynamic biological cells. Examples are a fixed medium of an organ‐on‐a‐chip and individual cells moving in a microfluidic channel, respectively. Due to feasibility of control or investigation and ethical implications of live targets, both static and dynamic cell‐on‐chip platforms promise various applications in biology. To extract necessary information from the experiments, the demand for direct monitoring is rapidly increasing. Among different microscopy methods, optical imaging is a straightforward choice. Considering light interaction with biological agents, imaging signals may be generated as a result of scattering or emission effects from a sample. Thus, optical imaging techniques could be categorized into scattering‐based and emission‐based techniques. In this review, various optical imaging approaches used in monitoring static and dynamic platforms are introduced along with their optical systems, advantages, challenges, and applications. This review may help biologists to find a suitable imaging technique for different cell‐on‐chip studies and might also be useful for the people who are going to develop optical imaging systems in life sciences studies.

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“…Therefore, the conventional pump-probe methods are not fully compatible with non-repeating phenomena such as fluid dynamics 4 and explosion dynamics 5,6 . The demand has grown steadily for recording the entire sequence of dynamics induced by a single pump pulse 7,8 .…”

Section: Introductionmentioning

confidence: 99%

Single-shot imaging of microscopic dynamic scenes at 5 THz frame rates by time and spatial frequency multiplexing

Moon¹,

Yoon²,

Lim

et al. 2020

Opt. Express

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Femtosecond-scale ultrafast imaging is an essential tool for visualizing ultrafast dynamics in molecular biology, physical chemistry, atomic physics, and fluid dynamics. Pump-probe imaging and a streak camera are the most widely used techniques, but they are either demanding the repetitions of the same scene or sacrificing the number of imaging dimensions. Many interesting single-shot ultrafast imaging techniques have been developed in recent years for recording non-repetitive dynamic scenes. Nevertheless, there are still weaknesses in the number of frames, the number of image pixels, or spatial/temporal resolution. Here, we present a single-shot ultrafast microscopy that can capture more than a dozen frames at a time with the frame rate of 5 THz. We combine a spatial light modulator and a custom-made echelon for efficiently generating a large number of reference pulses with designed time delays and propagation angles. The single-shot recording of the interference image between these reference pulses with a sample pulse allows us to retrieve the stroboscopic images of the dynamic scene at the timing of the reference pulses. We demonstrated the recording of 14 temporal snapshots at a time, which is the largest to date, with the optimal temporal resolution set by the laser output pulse. Our ultrafast microscopy is highly scalable in the number of frames and temporal resolutions, and this will have profound impacts on uncovering the interesting spatio-temporal dynamics yet to be explored.

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Ultrafast optical imaging technology: principles and applications of emerging methods

Cited by 68 publications

References 53 publications

High‐throughput, label‐free, single‐cell, microalgal lipid screening by machine‐learning‐equipped optofluidic time‐stretch quantitative phase microscopy

High‐throughput, label‐free, single‐cell, microalgal lipid screening by machine‐learning‐equipped optofluidic time‐stretch quantitative phase microscopy

Optical Imaging Approaches to Monitor Static and Dynamic Cell‐on‐Chip Platforms: A Tutorial Review

Single-shot imaging of microscopic dynamic scenes at 5 THz frame rates by time and spatial frequency multiplexing

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