Machine learning based lens-free shadow imaging technique for field-portable cytometry

R Vaghashiya, S Shin, V Chauhan, K Kapadiya… - Biosensors, 2022 - mdpi.com
The lens-free shadow imaging technique (LSIT) is a well-established technique for the
characterization of microparticles and biological cells. Due to its simplicity and cost …

Low-cost telemedicine device performing cell and particle size measurement based on lens-free shadow imaging technology

M Roy, D Seo, CH Oh, MH Nam, YJ Kim… - Biosensors and …, 2015 - Elsevier
Recent advances in lens-free shadow imaging technology have enabled a new class of cell
imaging platform, which is a suitable candidate for point-of-care facilities. In this paper, we …

Field-portable leukocyte classification device based on lens-free shadow imaging technique

D Seo, E Han, S Kumar, E Jeon, MH Nam, HS Jun… - Biosensors, 2022 - mdpi.com
The complete blood count (CBC) is one of the most important clinical steps in clinical
diagnosis. The instruments used for CBC are usually expensive and bulky and require well …

Lens-free shadow image based high-throughput continuous cell monitoring technique

G Jin, IH Yoo, SP Pack, JW Yang, UH Ha… - Biosensors and …, 2012 - Elsevier
A high-throughput continuous cell monitoring technique which does not require any labeling
reagents or destruction of the specimen is demonstrated. More than 6000 human alveolar …

An on-chip instrument for white blood cells classification based on a lens-less shadow imaging technique

Y Fang, N Yu, R Wang, D Su - PloS one, 2017 - journals.plos.org
Routine blood tests provide important basic information for disease diagnoses. The
proportions of three subtypes of white blood cells (WBCs), which are neutrophils …

Staining-free cell viability measurement technique using lens-free shadow imaging platform

M Roy, G Jin, JH Pan, D Seo, Y Hwang, S Oh… - Sensors and Actuators B …, 2016 - Elsevier
Tests for cell viability, ie, an assay quantifying the ratio of viable cells or tissues over the total
cells or tissues within an index between 0 and 1 (or 0 and 100%), play an important role in …

Human-level blood cell counting on lens-free shadow images exploiting deep neural networks

DH Ahn, JY Lee, SJ Moon, T Park - Analyst, 2018 - pubs.rsc.org
In point-of-care testing, in-line holographic microscopes paved the way for realizing portable
cell counting systems at marginal cost. To maximize their accuracy, it is critically important to …

Deep learning method for cell count from transmitted-light microscope

M Lu, W Shi, Z Jiang, B Li, D Ta, X Liu - Journal of Innovative Optical …, 2023 - World Scientific
Automatic cell counting provides an effective tool for medical research and diagnosis.
Currently, cell counting can be completed by transmitted-light microscope, however, it …

[HTML][HTML] 3D side-scattering imaging flow cytometer and convolutional neural network for label-free cell analysis

R Tang, Z Zhang, X Chen, L Waller, AC Zhang… - APL Photonics, 2020 - pubs.aip.org
Compared with conventional fluorescence biomarker labeling, the classification of cell types
based on their stain-free morphological characteristics enables the discovery of a new …

High‐throughput lensfree imaging and characterization of a heterogeneous cell solution on a chip

TW Su, S Seo, A Erlinger… - Biotechnology and …, 2009 - Wiley Online Library
A high‐throughput on‐chip imaging platform that can rapidly monitor and characterize
various cell types within a heterogeneous solution over a depth‐of‐field of∼ 4 mm and a …