scholarly journals Usiigaci: Instance-aware cell tracking in stain-free phase contrast microscopy enabled by machine learning

SoftwareX ◽  
2019 ◽  
Vol 9 ◽  
pp. 230-237 ◽  
Author(s):  
Hsieh-Fu Tsai ◽  
Joanna Gajda ◽  
Tyler F.W. Sloan ◽  
Andrei Rares ◽  
Amy Q. Shen
Keyword(s):  
Machine Learning ◽  
Phase Contrast ◽  
Cell Tracking ◽  
Phase Contrast Microscopy ◽  
Contrast Microscopy

scholarly journals Usiigaci: Instance-aware cell tracking in stain-free phase contrast microscopy enabled by machine learning

2019 ◽  
Author(s):  
Hsieh-Fu Tsai ◽  
Joanna Gajda ◽  
Tyler F.W. Sloan ◽  
Andrei Rares ◽  
Amy Q. Shen
Keyword(s):  
Cell Migration ◽  
Phase Contrast ◽  
Cell Tracking ◽  
Morphological Changes ◽  
Cell Movement ◽  
Cell Segmentation ◽  
Phase Contrast Microscopy ◽  
3T3 Fibroblasts ◽  
Contrast Microscopy ◽  
Migration Analysis

AbstractStain-free, single-cell segmentation and tracking is tantamount to the holy grail of microscopic cell migration analysis. Phase contrast microscopy (PCM) images with cells at high density are notoriously difficult to segment accurately; thus, manual segmentation remains the de facto standard practice. In this work, we introduce Usiigaci, an all-in-one, semi-automated pipeline to segment, track, and visualize cell movement and morphological changes in PCM. Stain-free, instance-aware segmentation is accomplished using a mask regional convolutional neural network (Mask R-CNN). A Trackpy-based cell tracker with a graphical user interface is developed for cell tracking and data verification. The performance of Usiigaci is validated with electrotaxis of NIH/3T3 fibroblasts. Usiigaci provides highly accurate cell movement and morphological information for quantitative cell migration analysis.

scholarly journals Rough Dental Implant Surfaces and Peri-Implantitis: Role of Phase-Contrast Microscopy, Laser Protocols, and Modified Home Oral Hygiene in Maintenance. A 10-Year Retrospective Study

2021 ◽  
Vol 11 (11) ◽  
pp. 4985
Author(s):  
Gianluigi Caccianiga ◽  
Gérard Rey ◽  
Paolo Caccianiga ◽  
Alessandro Leonida ◽  
Marco Baldoni ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Phase Contrast ◽  
Vertical Movement ◽  
Subgingival Plaque ◽  
Phase Contrast Microscopy ◽  
Implant Surface ◽  
Total Percentage ◽  
Contrast Microscopy

The aim of this study was to evaluate two different kinds of rough implant surface and to assess their tendency to peri-implantitis disease, with a follow-up of more than 10 years. Data were obtained from a cluster of 500 implants with Ti-Unite surface and 1000 implants with Ossean surface, with a minimum follow-up of 10 years. Implants had been inserted both in pristine bone and regenerated bone. We registered incidence of peri-implantitis and other causes of implant loss. All patients agreed with the following maintenance protocol: sonic brush with vertical movement (Broxo), interdental brushes, and oral irrigators (Broxo) at least two times every day. For all patients with implants, we evaluated subgingival plaque samples by phase-contrast microscopy every 4 months for a period of more than 10-years. Ti-Unite surface implants underwent peri-implantitis in 1.6% of the total number of implants inserted and Ossean surface implants showed peri-implantitis in 1.5% of the total number of implants. The total percentage of implant lost was 4% for Ti-Unite surfaces and 3.6% for Ossean surfaces. Strict control of implants leads to low percentage of peri-implantitis even for rough surfaces dental implants.

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