Red blood cell (RBC) indices serve as clinically important
parameters
for diagnosing various blood-related diseases. Conventional hematology
analyzers provide the highly accurate detection of RBC indices but
require large blood volumes (>1 mL), and the results are bulk mean
values averaged over a large number of RBCs. Moreover, they do not
provide quantitative information related to the morphological and
chemical alteration of RBCs at the single-cell level. Recently, quantitative
phase imaging (QPI) methods have been introduced as viable detection
platforms for RBC indices. However, coherent QPI methods are built
on complex optical setups and suffer from coherent speckle noise,
which limits their detection accuracy and precision. Here, we present
spectroscopic differential phase-contrast (sDPC) microscopy as a platform
for measuring RBC indices. sDPC is a computational microscope that
produces color-dependent phase images with higher spatial resolution
and reduced speckle noise compared to coherent QPIs. Using these spectroscopic
phase images and computational algorithms, RBC indices can be extracted
with high accuracy. We experimentally demonstrate that sDPC enables
the high-accuracy measurement of the mean corpuscular hemoglobin concentration,
mean corpuscular volume, mean corpuscular hemoglobin, red cell distribution
width, hematocrit, hemoglobin concentration, and RBC count with errors
smaller than 7% as compared to a clinical hematology analyzer based
on flow cytometry (XN-2000; Sysmex, Kobe, Japan). We further validate
the clinical utility of the sDPC method by measuring and comparing
the RBC indices of the control and anemic groups against those obtained
using the clinical hematology analyzer.