ArticleBiosensors & bioelectronics2021
Raman and quantitative phase imaging allow morpho-molecular recognition of malignancy and stages of B-cell acute lymphoblastic leukemia.
Article in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 40 citations in OpenAlex.
- From spectroscopic analysis to clinical imaging: emerging applications and persistent challenges of raman spectroscopy in CTCs-based liquid biopsies.Annals of medicine · 2026Review
- Raman spectroscopy combined with multiple technologies for label-free identification of immune cells: An overview.Journal of pharmaceutical analysis · 2026Review
- Automated High-Throughput Raman Spectral Framework for Cellular Differentiation Monitoring.Nano letters · 2026Article
- Rapid and sensitive acute leukemia classification and diagnosis platform using deep learning-assisted SERS detection.Cell reports. Medicine · 2025Article
- Spatial microfluidic holographic integrated platform for label-free and high-dimensional analysis of cancer heterogeneity.Nature communications · 2025Article
- Cell-TIMP: Cellular Trajectory Inference Based on Morphological Parameters.Nano letters · 2025Article
- SERS and Machine Learning-Enabled Liquid Biopsy: A Promising Tool for Early Detection and Recurrence Prediction in Acute Leukemia.ACS omega · 2025Article
- To Acquire or Not to Acquire: Evaluating Compressive Sensing for Raman Spectroscopy in Biology.ACS sensors · 2025Article
- Digital Holographic Microscopy in Veterinary Medicine-A Feasibility Study to Analyze Label-Free Leukocytes in Blood and Milk of Dairy Cows.Animals : an open access journal from MDPI · 2024Article
- Dysregulated arginine metabolism in precursor B-cell acute lymphoblastic leukemia in children: a metabolomic study.BMC pediatrics · 2024Article
- High-Resolution Raman Imaging of >300 Patient-Derived Cells from Nine Different Leukemia Subtypes: A Global Clustering Approach.Analytical chemistry · 2024Article
- On the use of deep learning for phase recovery.Light, science & applications · 2024Review
- Artificial intelligence-enabled quantitative phase imaging methods for life sciences.Nature methods · 2023Review
- Noninvasive morpho-molecular imaging reveals early therapy-induced senescence in human cancer cells.Science advances · 2023Article
- Optical diffraction tomography and Raman spectroscopy reveal distinct cellular phenotypes during white and brown adipocyte differentiation.Biosensors & bioelectronics · 2023Article
- Targeted Enzyme Activity Imaging with Quantitative Phase Microscopy.Nano letters · 2023Article
- Optical Detection of Cancer Cells Using Lab-on-a-Chip.Biosensors · 2023Review
- Review
- Raman spectroscopy reveals phenotype switches in breast cancer metastasis.Theranostics · 2022Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Acute lymphoblastic leukemia (ALL) is one of the most common malignancies that account for nearly one-third of all pediatric cancers. The current diagnostic assays are time-consuming, labor-intensive, and require expensive reagents. Here, we report a label-free approach featuring diffraction phase imaging and Raman microscopy that can retrieve both morphological and molecular attributes for label-free optical phenotyping of individual B cells. By investigating leukemia cell lines of early and late stages along with the healthy B cells, we show that phase images can capture subtle morphological differences among the healthy, early, and late stages of leukemic cells. By exploiting its biomolecular specificity, we demonstrate that Raman microscopy is capable of accurately identifying not only different stages of leukemia cells but also individual cell lines at each stage. Overall, our study provides a rationale for employing this hybrid modality to screen leukemia cells using the widefield QPI and using Raman microscopy for accurate differentiation of early and late-stage phenotypes. This contrast-free and rapid diagnostic tool exhibits great promise for clinical diagnosis and staging of leukemia in the near future.
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Registered trials
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