Hello, I’m Gherardo Baudo, a postdoctoral fellow with a Ph.D. in Nanomedicine. I specialize in drug delivery, particularly focusing on biomimetic lipid nanoparticles that encapsulate mRNA and drugs. My research spans diverse medical realms, including osteosarcoma, traumatic brain injury, and neurodegenerative diseases. Recognized as an expert in mitochondria transplantation, I employ this innovative strategy to address various cardiovascular conditions such as pulmonary arterial hypertension (PAH), atherosclerosis, and idiopathic pulmonary fibrosis (IPF). Currently, my research is dedicated to advancing our understanding of Alzheimer’s disease and exploring novel approaches for its treatment. With a comprehensive background in nanomedicine and a proven track record in translational research, I am committed to making significant contributions to the field of medical science.

University of Florence

Mechanical Engineering BE '17, University of Florence

Polytechnic Institute of Turin

Biomedical Engineering MS '20, Polytechnic Institute of Turin

PhD obtained from University Chinese Academy of Science November 2023

Pulmonary And Respiratory Medicine

Biomaterials

Molecular Biology

Oncology

Surgery

Developmental Neuroscience

Immunology

Biomedical Engineering

Physiology

Clinical Psychology

Pathology And Forensic Medicine

Urology

Cellular And Molecular Neuroscience

Ecology

Psychiatry And Mental Health

Public Health, Environmental And Occupational Health

Epidemiology

Periodontics

Biophysics

Endocrinology, Diabetes And Metabolism

Infectious Diseases

Pharmacology

Experimental Methods

Gherardo Baudo's Org

Standard Operating Procedure (SOP) for Cell Counting using ImageJ

Cell counting is a fundamental technique in cell biology, crucial for understanding cellular processes such as proliferation, differentiation, and apoptosis. In the context of cancer research, proliferation assays are essential since cancer cells often exhibit uncontrolled growth and division. Counting cells can provide valuable insights into the efficacy of cancer treatments aimed at reducing cell numbers or inhibiting their growth. This Standard Operating Procedure (SOP) outlines a method for counting cells using ImageJ, a popular open-source image processing program. By quantifying cell numbers, researchers can assess the impact of various treatments on cell proliferation, contributing to the development of more effective cancer therapiesOpen ImageJ and Load the ImageLaunch ImageJ.Navigate to File -> Open.Select and open the image file containing the cells to be counted.Convert the Image to 8-bitGo to Image -> Type -> 8-bit to transform the image into an 8-bit grayscale image. This step is crucial for enhancing contrast and facilitating the identification of individual cells.Create a Region of Interest (ROI)Use the circle selection tool to create a circular ROI and select a portion of the well.Navigate to Analyze -> Tools -> ROI Manager.Right-click on the ROI within the ROI Manager and choose Save to store the ROI for future analysis.Duplicate the ImageRight-click on the image and select Duplicate to create a copy of the original image. This allows for processing without altering the original data.Set a ThresholdGo to Image -> Adjust -> Threshold (or use the shortcut Ctrl + Shift + T) to apply a threshold. Adjusting the threshold helps to distinguish cells from the background.Apply the Watershed AlgorithmNavigate to Process -> Binary -> Watershed. The watershed algorithm helps to separate cells that are touching, making individual cells more distinguishable.Analyze ParticlesSelect Analyze -> Analyze Particles. This function quantifies and categorizes particles (cells) based on size and shape, effectively counting them.Check the ResultsIn the results window, examine the last row, first column to find the number of cells (#cells).Measure Area of the Well and ROITo measure the area of the entire well and the selected ROI, go to Analyze -> Measure (or use the shortcut Ctrl+M).Calculate Cell DensityTo calculate the cell density within the selected area, use the formula:\text{Cell Density} = \left( \frac{\text{Area of the Well}}{\text{Area of ROI}} \right) \cdot \text{Number of Cells}This calculation adjusts the cell count to account for the difference in area between the entire well and the selected ROI, providing a normalized measure of cell density.By following this SOP, researchers can accurately count and assess the density of cells in a given sample. This process is invaluable for experiments aimed at understanding cell proliferation, especially in the study of cancerous tissues where cell growth is a primary concern.

Standard Operating Procedure (SOP) for Cell Counting using ImageJ

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