Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Igor Sokolov

Has grant

professor

Tufts University

United States

Research Interests

Explore related searches

Professors in United States Professors in Cell Biology Cell Biology professors in United States

Recent Grants

Grant: Close

Noninvasive bladder cancer diagnostics via machine learning analysis of nanoscale surface images of epithelial cells extracted from voided urine samples

Open Date: 2021-08-01

Close Date: 2026-07-31

Grant: Close

EAGER: Development of fluorescent sensors of temperature and iron ion concentrations around magnetic particles under the action of an oscillating magnetic field

Open Date: 2021-03-01

Close Date: 2023-02-28

Grant: Close

I-Corps: Noninvasive detection of bladder cancer using ringing modality of atomic force microscopy

Open Date: 2020-08-01

Close Date: 2022-01-31

Grant: Close

EAGER: Development of Methods to Study Dynamical Mechanical Properties of the Pericellular Layer of Cells

Open Date: 2019-08-01

Close Date: 2021-01-01

Grant: Close

EAGER: Development of Methods to Study Dynamical Mechanical Properties of the Pericellular Layer of Cells

Open Date: 2019-08-01

Close Date: 2022-01-31

Articles (18)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (1)

Rajendra Prasad

Assistant Professor

Indian Institute of Technology (BHU), Varanasi

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Igor Sokolov

Research Interests

Explore related searches

Recent Grants

Articles (18)

The brush model for atomic force microscopy: progress in measuring absolute values of Young’s modulus and pericellular layer properties in biological cells and soft matter

Bio-conjugated ultrabright fluorescent nanoparticles for targeted cancer-cell imaging: independent size control and brightness

Self-assembly of centimeter-long micron-diameter fibers of isotropic spherical silica nanoparticles

Long-Term Cell-Membrane-Coated Ultrabright Nanospheres for Targeted Cancer Cell Imaging and Hydrophobic Drug Delivery

Single ultrabright fluorescent silica nanoparticles can be used as individual fast real-time nanothermometers

On machine learning analysis of atomic force microscopy images for image classification, sample surface recognition

Ultrabright fluorescent particles via physical encapsulation of fluorescent dyes in mesoporous silica: a mini-review

Mechanical Way To Study Molecular Structure of Pericellular Layer

Towards the Use of Individual Fluorescent Nanoparticles as Ratiometric Sensors: Spectral Robustness of Ultrabright Nanoporous Silica Nanoparticles

Identification of Geometrical Features of Cell Surface Responsible for Cancer Aggressiveness: Machine Learning Analysis of Atomic Force Microscopy Images of Human Colorectal Epithelial Cells

Machine Learning Allows for Distinguishing Precancerous and Cancerous Human Epithelial Cervical Cells Using High-Resolution AFM Imaging of Adhesion Maps

Acceleration of imaging in atomic force microscopy working in sub-resonance tapping mode

Cell mechanics can be robustly derived from AFM indentation data using the brush model: error analysis

Correlation of cell mechanics with the resistance to malignant transformation in naked mole rat fibroblasts

Atomic Force Microscopy Detects the Difference in Cancer Cells of Different Neoplastic Aggressiveness via Machine Learning

Ultrabright Fluorescent Silica Nanoparticles for Dual pH and Temperature Measurements

Ultrabright fluorescent nanothermometers

Absorption of organic compounds by mesoporous silica discoids

Collaborators (1)

Rajendra Prasad

Make your next move.