Xxera/openscience/retractions

Record #68736

A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications

Hadi Hashemzadeh, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Mario Rothbauer, Peter Ertl, Hossein Naderi-Manesh

Journal

Scientific Reports

Publisher

Springer - Nature Publishing Group

Original paper date

May 7, 2021

Original DOI

10.1038/s41598-021-89352-8

Country

🇦🇹 Austria · 🇮🇷 Iran

Institution

Nanobiotechnology Department, Faculty of Biosciences, Tarbiat Modares University, Tehran, Iran · Biomedical Engineering Group, Department of Electrical Engineering and Information Technology, Iranian Research Organization for Science and Technology (IROST), P.O. Box 33535111, Tehran, Iran · Biophysics Department, Faculty of Biosciences, Tarbiat Modares University, Tehran, Iran · Karl Chiari Lab for Orthopaedic Biology, Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Währinger Gürtel 18-22, 1090, Vienna, Austria · Institute of Applied Synthetic Chemistry and Institute of Chemical Technologies and Analytics, Faculty of Technical Chemistry, Vienna University of Technology, Getreidemarkt 9/163-164, 1060, Vienna, Austria

Open access

No

Article type

Research Article

Broad categories

(B/T) Data Science (B/T) Technology (BLS) Biochemistry (BLS) Biology - Cancer (PHY) Engineering - Chemical

Notes from Retraction Watch

see also: https://pubpeer.com/publications/A6F22085325622D08AB15B9946180B

Citation lifecycle

How this paper is being cited

Pre-retraction

45

Same day

0

Post-retraction

5

% post-retraction

10.0%

~10.8 citations/yr before retraction · ~4.2 citations/yr after

— citing papers

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