Artificial intelligence-enabled quantitative phase imaging methods for life sciences
Quantitative phase imaging, integrated with artificial intelligence, allows for the rapid and
label-free investigation of the physiology and pathology of biological systems. This review …
label-free investigation of the physiology and pathology of biological systems. This review …
[HTML][HTML] On the use of deep learning for phase recovery
Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
Perspectives on liquid biopsy for label‐free detection of “circulating tumor cells” through intelligent lab‐on‐chips
Circulating tumor cells (CTCs) are rare tumor cells released from primary, metastatic, or
recurrent tumors in the peripheral blood of cancer patients. CTCs isolation from peripheral …
recurrent tumors in the peripheral blood of cancer patients. CTCs isolation from peripheral …
Identification of microplastics based on the fractal properties of their holographic fingerprint
Water plastic pollution is a serious problem affecting sealife, marine habitats, and the food
chain. Artificial intelligence-enabled coherent imaging has recently shown exciting …
chain. Artificial intelligence-enabled coherent imaging has recently shown exciting …
[HTML][HTML] Machine learning assisted classification of cell lines and cell states on quantitative phase images
AV Belashov, AA Zhikhoreva, TN Belyaeva, AV Salova… - Cells, 2021 - mdpi.com
In this report, we present implementation and validation of machine-learning classifiers for
distinguishing between cell types (HeLa, A549, 3T3 cell lines) and states (live, necrosis …
distinguishing between cell types (HeLa, A549, 3T3 cell lines) and states (live, necrosis …
Neuroblastoma cells classification through learning approaches by direct analysis of digital holograms
The label-free single cell analysis by machine and Deep Learning, in combination with
digital holography in transmission microscope configuration, is becoming a powerful …
digital holography in transmission microscope configuration, is becoming a powerful …
Comparative analysis of Radachlorin accumulation, localization, and photobleaching in three cell lines by means of holographic and fluorescence microscopy
AA Zhikhoreva, AV Belashov, TN Belyaeva… - Photodiagnosis and …, 2022 - Elsevier
In this paper we compare the response of cells of established lines of different origin: HeLa,
A549 and 3T3 to photodynamic treatment with Radachlorin photosensitizer. The analysis …
A549 and 3T3 to photodynamic treatment with Radachlorin photosensitizer. The analysis …
[HTML][HTML] Holographic flow scanning cytometry overcomes depth of focus limits and smartly adapts to microfluidic speed
Space-time digital holography (STDH) maps holograms in a hybrid space-time domain to
achieve extended field of view, resolution enhanced, quantitative phase-contrast microscopy …
achieve extended field of view, resolution enhanced, quantitative phase-contrast microscopy …
[HTML][HTML] Significant difference in response of malignant tumor cells of individual patients to photodynamic treatment as revealed by digital holographic microscopy
AA Zhikhoreva, AV Belashov, AB Danilova… - … of Photochemistry and …, 2021 - Elsevier
The investigation of in-vitro response of cell cultures derived from tumor material of
individual patients with similar tumor localizations to photodynamic treatment is presented …
individual patients with similar tumor localizations to photodynamic treatment is presented …
Classification of cell morphology with quantitative phase microscopy and machine learning
We describe and compare two machine learning approaches for cell classification based on
label-free quantitative phase imaging with transport of intensity equation methods. In one …
label-free quantitative phase imaging with transport of intensity equation methods. In one …