Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Time-lapse microscopy is the only method that can directly capture the dynamics and heterogeneity of fundamental cellular processes at the single-cell level with high temporal resolution. Successful application of single-cell time-lapse microscopy requires automated segmentation and tracking of hundreds of individual cells over several time points. However, segmentation and tracking of single cells remain challenging for the analysis of time-lapse microscopy images, in particular for widely available and non-toxic imaging modalities such as phase-contrast imaging. This work presents a versatile and trainable deep-learning model, termed DeepSea, that allows for both segmentation and tracking of single cells in sequences of phase-contrast live microscopy images with higher precision than existing models. We showcase the application of DeepSea by analyzing cell size regulation in embryonic stem cells.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326378 | PMC |
| http://dx.doi.org/10.1016/j.crmeth.2023.100500 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Science of music-based citizen science: How seeing influences hearing.
PLoS One
September 2025
Department of Engineering and School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Citizen science engages volunteers to contribute data to scientific projects, often through visual annotation tasks. Hearing based activities are rare and less well understood. Having high quality annotations of performed music structures is essential for reliable algorithmic analysis of recorded music with applications ranging from music information retrieval to music therapy.
View Article and Find Full Text PDFSuture Repositioning for Subluxation of a Toric-Type Single-Piece Multifocal Intraocular Lens.
Cureus
August 2025
Department of Ophthalmology, Kanazawa Medical University, Uchinada, JPN.
Intraocular repair for subluxation of a multifocal intraocular lens (MFIOL) can be challenging, especially in toric models. Herein, we report a case of a 43-year-old man with a subluxated toric-type single-piece trifocal intraocular lens (IOL) with a C-loop that was spared using suture repositioning. Pars plana suturing was performed using the haptic externalization technique, and the tram-track suture technique was employed to flatten the tilted toric MFIOL.
View Article and Find Full Text PDFOn the puzzling speckle tracking echocardiography/clinical severity dissociation between patients with takotsubo syndrome and anterior ST-elevation myocardial infarction.
Int J Cardiol
September 2025
Icahn School of Medicine at Mount Sinai, New York, NY, United States of America; Cardiology Department, Elmhurst Hospital Center, Elmhurst, NY, United States of America. Electronic address:
Artificial Intelligence Automation of Echocardiographic Measurements.
J Am Coll Cardiol
August 2025
Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Cardiology, Kaiser Permanente Santa Clara Medical Center, Santa Clara, California, USA. Electronic address:
Background: Accurate measurement of echocardiographic parameters is crucial for the diagnosis of cardiovascular disease and tracking of change over time; however, manual assessment requires time-consuming effort and can be imprecise. Artificial intelligence has the potential to reduce clinician burden by automating the time-intensive task of comprehensive measurement of echocardiographic parameters.
Objectives: The purpose of this study was to develop and validate open-sourced deep learning semantic segmentation models for the automated measurement of 18 anatomic and Doppler measurements in echocardiography.
Fully automated image updating for brain shift compensation after dural opening.
J Neurosurg
September 2025
1Thayer School of Engineering, Dartmouth College, Hanover.
Objective: In open cranial procedures, intraoperative brain shift can degrade the accuracy of surgical navigation on the basis of preoperative MR (pMR) images as soon as the cortical surface is exposed. The aim of this study was to develop a fully automated image updating system to address brain shift at the start of open cranial surgery and to evaluate its accuracy and efficiency.
Methods: This study included patients undergoing open cranial procedures at a single center.