Related references
Note: Only part of the references are listed.Engineering microscale systems for fully autonomous intracellular neural interfaces
Swathy Sampath Kumar et al.
MICROSYSTEMS & NANOENGINEERING (2020)
Intelligent image-based deformation-assisted cell sorting with molecular specificity
Ahmad Ahsan Nawaz et al.
NATURE METHODS (2020)
Raman image-activated cell sorting
Nao Nitta et al.
NATURE COMMUNICATIONS (2020)
Intelligent image-activated cell sorting 2.0
Akihiro Isozaki et al.
LAB ON A CHIP (2020)
Machine Learning Based Real-Time Image-Guided Cell Sorting and Classification
Yi Gu et al.
CYTOMETRY PART A (2019)
Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network
Jie Hang et al.
SENSORS (2019)
Deep Learning with Microfluidics for Biotechnology
Jason Riordon et al.
TRENDS IN BIOTECHNOLOGY (2019)
Occurrence of the potent mutagens 2-nitrobenzanthrone and 3-nitrobenzanthrone in fine airborne particles
Aldenor G. Santos et al.
SCIENTIFIC REPORTS (2019)
Universally applicable three-dimensional hydrodynamic focusing in a single-layer channel for single cell analysis
Yingying Zhao et al.
ANALYTICAL METHODS (2018)
A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters
Kiryl D. Piatkevich et al.
NATURE CHEMICAL BIOLOGY (2018)
Intelligent Image-Activated Cell Sorting
Nao Nitta et al.
CELL (2018)
Characterization and Transplantation of CD73-Positive Photoreceptors Isolated from Human iPSC-Derived Retinal Organoids
Giuliana Gagliardi et al.
STEM CELL REPORTS (2018)
Convolutional neural networks: an overview and application in radiology
Rikiya Yamashita et al.
INSIGHTS INTO IMAGING (2018)
Microfluidic fluorescence-activated cell sorting (μFACS) chip with integrated piezoelectric actuators for low-cost mammalian cell enrichment
Zhen Cheng et al.
MICROFLUIDICS AND NANOFLUIDICS (2017)
Data-analysis strategies for image-based cell profiling
Juan C. Caicedo et al.
NATURE METHODS (2017)
Reconstructing cell cycle and disease progression using deep learning
Philipp Eulenberg et al.
NATURE COMMUNICATIONS (2017)
Label-free cell cycle analysis for high-throughput imaging flow cytometry
Thomas Blasi et al.
NATURE COMMUNICATIONS (2016)
Microscopy-Based High-Content Screening
Michael Boutros et al.
CELL (2015)
High Resolution Cell Positioning Based on a Flow Reduction Mechanism for Enhancing Deformability Mapping
Shinya Sakuma et al.
MICROMACHINES (2014)
Translational Applications of Flow Cytometry in Clinical Practice
David L. Jaye et al.
JOURNAL OF IMMUNOLOGY (2012)
Adipose Tissue Derived Stem Cells for Regeneration and Differentiation into Insulin-Producing Cells
Song Cheol Kim et al.
Current Stem Cell Research & Therapy (2010)
Advances in Complex Multiparameter Flow Cytometry Technology: Applications in Stem Cell Research
Frederic Preffer et al.
CYTOMETRY PART B-CLINICAL CYTOMETRY (2009)
Quantitative analysis of gene expression in a single cell by qPCR
Kiyomi Taniguchi et al.
NATURE METHODS (2009)
Stochastic protein expression in individual cells at the single molecule level
L Cai et al.
NATURE (2006)
Single-cell gene expression profiling
JM Levsky et al.
SCIENCE (2002)
Share Paper
