I am excited to share that the most recent paper from my Ph.D. with @profnance, "Prevalence and practices of immunofluorescent cell image processing: a systematic review" is now published in Frontiers in Cellular Neuroscience!
Link: https://t.co/hmbfQAPmpr
@profnance@Tale_of_2_PhDs We also have unlisted videos on tips for resumes and applications and career panels. They are unlisted due to personal information (I don't want my terrible old resumes everywhere on the internet).
But if you are interested, message me for a link!
For our summer data science training program in @profnance 's lab, we developed professional development workshops for our high school and undergraduate students and made them available on YouTube.
Link to Playlist: https://t.co/6Yzr212M7J
@profnance@Tale_of_2_PhDs Video 6: A final Instructor panel answering questions from the summer.
Watch for general and specific questions about research!
Stay tuned for tips for making the most of high school and undergrad to support research careers (hint: enjoy life)!
Link: https://t.co/aX2fsjpaYl
To help people improve image processing and cell quantification of their own images, we also include supplementary tables that list each cell type alongside the models, image processing methods, and feature quantified tagged with the related citation from our literature review.
I am excited to share that the most recent paper from my Ph.D. with @profnance, "Prevalence and practices of immunofluorescent cell image processing: a systematic review" is now published in Frontiers in Cellular Neuroscience!
Link: https://t.co/hmbfQAPmpr
We show that less than 10% of the over 9,000 papers published with immunofluorescent images of central nervous system cells include image processing methodologies in the publication.
We created a beautiful Sankey diagram showing the combinations of models, central nervous system cells, quantified features, image processing techniques, and software used for all papers using confocal microscopy (Figure 3).
We designed multi-level pie charts and tree diagrams to show the prevalence of common fluorescent imaging methods across different cells of the CNS and with different image processing methods (Figure 2).
We provide a table of the most commonly published image processing software, including their costs, features, and citations for quantifying morphological cell characteristics (Table 1).
Data Science Module 6: Research Paper-Specific Workflow
Link: https://t.co/67TThpKfhG
I walk students through the workflow for microglial analysis from our 2020 Bioengineering & Translational Medicine paper and output a CSV of over 30,000 cells and their quantified features.
Our summer learning modules about data science for fluorescent brain cell imaging in the Nance Lab @profnance at @UWChemE are up as a playlist on Youtube:https://t.co/H1JJeiW6wl
The series was developed for high schoolers and undergraduates with no previous research experience.
Data Science Module 6 - Getting Quantitative Cell Characteristics
Link: https://t.co/Zpn6qz67E7
I teach students how to get quantitative cell features of microglia from images published in Nance Lab research papers.
Meet the Instructors Panel: https://t.co/ZXaPUGosUR
Introduces students to Phuong Nguyen, Nels Schimek, and me - all graduate students in the Nance Lab. We discuss our paths to neurodevelopmental engineering research, current projects, and teaching goals.
Data Science Module 4 - The Power of Thresholds
Link: https://t.co/Avg6q1zCZj
I introduce students to the concept of thresholds and apply thresholds to immunofluorescent images of brain cells.