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Author: anne plant
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1. Performance Benchmarking and Intensity Calibration of a Widefield Fluorescence Microscope Using Fluorescent Glass
Michael W Halter, Elianna Bier, Paul C DeRose, Gregory A Cooksey, Steven J Choquette, Anne L Plant, John T Elliott
Widefield fluorescence microscopy is a highly used tool for visually assessing biological samples and for quantifying cell responses. Despite its widespread use in high content analysis and other screening applications, few published methods exist f ...
2. Frictional properties of native and functionalized type I collagen thin films
Koo-hyun Chung, Antony Chen, Christopher Anderton, Kiran Bhadriraju, Anne L Plant, Brian G Bush, Robert Francis Cook, Frank W DelRio
Frictional properties of native and fibronectin (FN)-functionalized type I collagen (COL) thin films were studied via atomic force microscopy. The COL lateral contact stiffness was dependent only on the hydration state, indicating that shear deformat ...
3. Measurement Uncertainty in Cell Image Segmentation Data Analysis
NIST Interagency/Internal Report (NISTIR)
Jin Chu Wu, Michael W Halter, Raghu N Kacker, John T Elliott, Anne L Plant
Cell image segmentation is a part of quantitative studies regarding cell movement and cell behavior,
and it plays a critical role in molecular biology and cellular biochemistry. Therefore, it is
fundamentally important to evaluate the performance ...
4. Controlled Chemistry for Studying Combined Effects of Extracellular Matrix Proteins
Antony K. Chen, Frank W DelRio, Alexander W Peterson, Koo-Hyun Chung, Kiran Bhadriraju, Anne L Plant
The extracellular matrix (ECM) consists of a complex mixture of biochemical and physical stimuli that together regulate cell behavior. Previously we showed that films composed of Type I collagen fibrils induce reproducible and physiologically relevan ...
5. ELUCIDATING THE SURFACE COMPOSITION OF MECHANICALLY MODULATED COLLAGEN FIBRIL FILMS WITH TOF-SIMS
Christopher R Anderton, Kiran Bhadriraju, Frank W DelRio, Anne L Plant
The extracellular matrix (ECM) environment plays a critical role in organism development and disease. Consequently, developing
complementary analytical techniques to study bioactive scaffolds can assist in understanding cell-ECM processes. We have ...
6. Review: Biological Imaging Software Tools
Anne L Plant, Kevin Eliceiri, Anne Carpenter
Few technologies are more widespread in modern biological laboratories than imaging by microscopy. Advancements in optical technologies and instrumentation over the past twenty years have led to massive improvements in the resolution, specificity, d ...
7. New Concepts for Building Vocabulary for Cell Image Ontologies
Anne L Plant, John T Elliott, Talapady N Bhat
Background: We present an approach to cell image databasing that is compatible with searching across a global federation of independent image databases. The variety of biological experiments and data that practitioners would like to access and share ...
8. Comparison of segmentation algorithms for fluorescence microscopy images of cells
Alden A Dima, John T Elliott, James J Filliben, Michael W Halter, Adele P Peskin, Javier Bernal, Marcin Kociolek, Mary C Brady, Hai C. Tang, Anne L Plant
Segmentation results from nine different segmentation techniques applied to two different cell lines and five different sets of imaging conditions were compared. Significant variability in the results of segmentation was observed that was due solely ...
9. Reproducibility and Robustness of a Real-Time Microfluidic Cell Toxicity Assay
Gregory A Cooksey, John T Elliott, Anne L Plant
Numerous opportunities exist to apply microfluidic technology to high-throughput and high-content
cell-based assays. However, maximizing the value of these assays for drug discovery, screening or
toxicity evaluation, for example, will require va ...
10. Image Classification of Vascular Smooth Muscle Cells
Michael Grasso, Ronil Mokashi , Alden A Dima, Antonio Cardone, Kiran Bhadriraju, Anne L Plant, Mary C Brady, Yaacov Yesha, Yelena Yesha
The traditional method of cell microscopy can be subjective, due to observer variability, a lack of standardization, and a limited feature set. To address this challenge, we developed an image classifier using a machine learning approach. Our system ...