Anaemias diagnosis by label-free quantitative phase imaging

Martina Mugnano; Pasquale Memmolo; Lisa Miccio; Francesco Merola; Vittorio Bianco; Antonella Gambale; Roberta Russo; Immacolata Andolfo; Achille Iolascon; Pietro Ferraro

doi:10.1117/12.2507479

4 March 2019 Anaemias diagnosis by label-free quantitative phase imaging

Martina Mugnano, Pasquale Memmolo, Lisa Miccio, Francesco Merola, Vittorio Bianco, Antonella Gambale, Roberta Russo, Immacolata Andolfo, Achille Iolascon, Pietro Ferraro

Author Affiliations +

Proceedings Volume 10887, Quantitative Phase Imaging V; 108871W (2019) https://doi.org/10.1117/12.2507479
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

Gold standard methods for anaemia diagnosis are the complete blood count and the peripheral smear observation. However, they do not allow for a complete differential diagnosis, which requires biochemical assays, thus being labeldependent techniques. On the other hand, recent studies focus on label-free quantitative phase imaging (QPI) of blood samples to investigate blood diseases by using video-based morphological methods. However, when sick cells are very similar to healthy ones in terms of morphometric features, identification of a blood disease becomes challenging even by morphometric analysis as well as QPI. Here we exploit in-flow tomographic phase microscopy to retrieve the exact 3D rendering of Red Blood Cells (RBCs) from anaemic patients and to identify the pathology, distinguishing it from healthy samples. Moreover, we introduce a Label-free Optical Marker (LOM) to detect RBC phenotypes demonstrating that a single set of all-optical parameters can clearly identify a signature directly related to the erythrocytes disease by modelling each RBC as a biolens. We tested this novel bio-photonic analysis by proofing that several inherited anaemias, specifically Iron-deficiency Anaemia, Thalassemia, Hereditary Spherocytosis and Congenital Dyserythropoietic Anaemia, can be identified and sorted thus opening a novel route for blood diagnosis on a completely different concept based on LOMs.

Citation Download Citation

Martina Mugnano, Pasquale Memmolo, Lisa Miccio, Francesco Merola, Vittorio Bianco, Antonella Gambale, Roberta Russo, Immacolata Andolfo, Achille Iolascon, and Pietro Ferraro "Anaemias diagnosis by label-free quantitative phase imaging", Proc. SPIE 10887, Quantitative Phase Imaging V, 108871W (4 March 2019); https://doi.org/10.1117/12.2507479

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Blood

Iron

Holography

Phase imaging

Statistical analysis

Biomedical optics

Digital holography

Show All Keywords

Keywords/Phrases

Search In:

Publication Years