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Quantitative phase microscopy (QPM) has become an indispensable technology for label-free high-contrast imaging and quantitative analysis of various biological cells and tissues, such as, sperm cells, micro-phases, liver sinusoidal cells, red blood cells, cancerous cells, plant cells etc, without using any exogenous contrast agents. Quantifying various bio-physical parameters of these cells and tissues is important for successful IVF technology, early-stage disease detection, hemoglobin concentration, sickle cell disease, dry mass determination, dynamic membrane fluctuations etc. Precise determination of these parameters depends on the accuracy in phase measurement with reduced spatial phase noise and high temporal phase stability. Most QPM techniques utilize highly coherent light like lasers due to their remarkable properties, such as high spatial and temporal coherence and brightness. But a laser’s high spatio-temporal coherence leads to the occurrence of speckle noise and spurious fringes leading to poor spatial phase sensitivity and inhomogeneous illumination. All these factors significantly influence the phase measurement accuracy of QPM systems and lead to poor image quality.
Preface
1 Introduction
2 Partially spatially coherent off-axis quantitative phase microscopy
3 Partially spatially coherent common-path quantitative phase microscopy
4 Structured illumination quantitative phase microscopy
5 Multimodal on-chip nanoscopy and quantitative phase microscopy
6 Longitudinal spatial coherence gated tomography using partially spatially coherent monochromatic light
7 Low-coherence (white light) interference microscopy with colour fringe analysis
8 Artificial intelligence: a computational tool to interpret quantitative phase imaging
9 Multi-spectral and hyper-spectral phase microscopy
10 Conclusions and future prospects