scholarly journals Integrative quantitative-phase and airy light-sheet imaging

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
N. R. Subedi ◽  
P. S. Jung ◽  
E. L. Bredeweg ◽  
S. Nemati ◽  
S. E. Baker ◽  
...  
Keyword(s):  
Evolutionary Biology ◽  
Imaging System ◽  
Light Sheet ◽  
Live Cells ◽  
Phase Imaging ◽  
Label Free ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase ◽  
Light Sheet Microscopy ◽  
Order Of Magnitude

AbstractLight-sheet microscopy enables considerable speed and phototoxicity gains, while quantitative-phase imaging confers label-free recognition of cells and organelles, and quantifies their number-density that, thermodynamically, is more representative of metabolism than size. Here, we report the fusion of these two imaging modalities onto a standard inverted microscope that retains compatibility with microfluidics and open-source software for image acquisition and processing. An accelerating Airy-beam light-sheet critically enabled imaging areas that were greater by more than one order of magnitude than a Gaussian beam illumination and matched exactly those of quantitative-phase imaging. Using this integrative imaging system, we performed a demonstrative multivariate investigation of live-cells in microfluidics that unmasked that cellular noise can affect the compartmental localization of metabolic reactions. We detail the design, assembly, and performance of the integrative imaging system, and discuss potential applications in biotechnology and evolutionary biology.

scholarly journals Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Mikhail E. Kandel ◽  
Yuchen R. He ◽  
Young Jae Lee ◽  
Taylor Hsuan-Yu Chen ◽  
Kathryn Michele Sullivan ◽  
...  
Keyword(s):  
Cell Biology ◽  
Imaging System ◽  
High Specificity ◽  
Dry Mass ◽  
Live Cells ◽  
Phase Imaging ◽  
Label Free ◽  
Quantitative Phase Imaging ◽  
Cell Nuclei ◽  
Quantitative Phase

AbstractDue to its specificity, fluorescence microscopy has become a quintessential imaging tool in cell biology. However, photobleaching, phototoxicity, and related artifacts continue to limit fluorescence microscopy’s utility. Recently, it has been shown that artificial intelligence (AI) can transform one form of contrast into another. We present phase imaging with computational specificity (PICS), a combination of quantitative phase imaging and AI, which provides information about unlabeled live cells with high specificity. Our imaging system allows for automatic training, while inference is built into the acquisition software and runs in real-time. Applying the computed fluorescence maps back to the quantitative phase imaging (QPI) data, we measured the growth of both nuclei and cytoplasm independently, over many days, without loss of viability. Using a QPI method that suppresses multiple scattering, we measured the dry mass content of individual cell nuclei within spheroids. In its current implementation, PICS offers a versatile quantitative technique for continuous simultaneous monitoring of individual cellular components in biological applications where long-term label-free imaging is desirable.

Fusing quantitative-phase imaging with airy light-sheet microscopy

2021 ◽  
Author(s):  
Nava R. Subedi ◽  
Pawel S. Jung ◽  
Erin Bredeweg ◽  
Shahla Nemati ◽  
Scott E. Baker ◽  
...  
Keyword(s):  
Light Sheet ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase ◽  
Light Sheet Microscopy

scholarly journals Digital Holographic Multimodal Cross-Sectional Fluorescence and Quantitative Phase Imaging System

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Manoj Kumar ◽  
Xiangyu Quan ◽  
Yasuhiro Awatsuji ◽  
Yosuke Tamada ◽  
Osamu Matoba
Keyword(s):  
Imaging System ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Cross Sectional ◽  
Quantitative Phase
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