[HTML][HTML] Artificial intelligence in sickle disease

AA Elsabagh, M Elhadary, B Elsayed, AM Elshoeibi… - Blood Reviews, 2023 - Elsevier
Artificial intelligence (AI) is rapidly becoming an established arm in medical sciences and
clinical practice in numerous medical fields. Its implications have been rising and are being …

[HTML][HTML] Microsphere-assisted quantitative phase microscopy: a review

V Abbasian, T Pahl, L Hüser, S Lecler… - Light: Advanced …, 2024 - light-am.com
Light microscopes are the most widely used devices in life and material sciences that allow
the study of the interaction of light with matter at a resolution better than that of the naked …

Large-scale scattering-augmented optical encryption

L Bian, X Chang, S Jiang, L Yang, X Zhan, S Liu… - Nature …, 2024 - nature.com
Data proliferation in the digital age necessitates robust encryption techniques to protect
information privacy. Optical encryption leverages the multiple degrees of freedom inherent in …

Resolution limit in opto-digital systems revisited

L Galdón, J Garcia-Sucerquia, G Saavedra… - Optics …, 2023 - opg.optica.org
The resolution limit achievable with an optical system is a fundamental piece of information
when characterizing its performance, mainly in case of microscopy imaging. Usually this …

Assessment of lateral resolution of single random phase encoded lensless imaging systems

S Goswami, P Wani, G Gupta, B Javidi - Optics Express, 2023 - opg.optica.org
In this paper, we have used the angular spectrum propagation method and numerical
simulations of a single random phase encoding (SRPE) based lensless imaging system …

Machine Learning-Driven Advances in Electrochemical Sensing: A Horizon Scan

K Murugan, K Gopalakrishnan… - Journal of The …, 2024 - iopscience.iop.org
The burgeoning intersection of machine learning (ML) with electrochemical sensing heralds
a transformative era in analytical science, pushing the boundaries of what's possible in …

Machine learning-assisted image-based optical devices for health monitoring and food safety

M Mousavizadegan, F Shalileh… - TrAC Trends in …, 2024 - Elsevier
The advent of artificial intelligence has highly impacted the process of image processing and
pattern recognition, hence influencing biomedical researchers to implement machine …

Dielectric Metasurface Enabled Compact, Single-Shot Digital Holography for Quantitative Phase Imaging

J Sardana, S Devinder, W Zhu, A Agrawal… - Nano Letters, 2023 - ACS Publications
Quantitative phase imaging (QPI) enables nondestructive, real-time, label-free imaging of
transparent specimens and can reveal information about their fundamental properties such …

Advances in lensless random phase encoded imaging for automated cell identification

G Aschenbrenner, S Goswami, K Usmani… - Optical …, 2024 - spiedigitallibrary.org
We present recent advances in lensless random phase encoded imaging for cell
identification as related to biomedical applications, accentuating the robustness of …

Automated fast label-free quantification of cardiomyocyte dynamics with raw holograms for cardiotoxicity screening

I Moon, E Ahmadzadeh, Y Kim, B Rappaz… - Biomedical Optics …, 2025 - opg.optica.org
Traditional cell analysis approaches based on quantitative phase imaging (QPI) necessitate
a reconstruction stage, which utilizes digital holography. However, phase retrieval …