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Scientific Exploration at Pitt-Bradford

An independent, internship-like scientific experience involving SEM/EDS analysis, an Arduino and LiDAR build, and evidence-led investigation, made possible by Dr. Ovidiu Franţescu.

A fractured geode region imaged with a scanning electron microscope on August 28, 2026.

Abstract

From August 24-29, 2026, with the main project work completed through August 28, I took part in an independent, internship-like scientific experience at the University of Pittsburgh at Bradford. I learned a scanning electron microscope workflow, used EDS results to investigate a geode, built an Arduino and LiDAR warning system, attended science classes, and practiced approaching unfamiliar problems through evidence and iteration.

Method

Dr. Ovidiu Franţescu made all of the SEM work possible by providing instrument access, teaching the workflow, explaining the underlying science, and allowing me to investigate selected regions. Across two sessions I helped prepare and mount samples, navigated specimens, adjusted magnification and focus, captured 28 retained images, made measurements, and completed 10 retained SEM/EDS geode analyses under his guidance.

Findings

The clearest data-supported finding was that small geode regions could have very different reported elemental compositions. Retained analyses included regions led by silicon, oxygen, tin, or antimony. The more important result was methodological: visual irregularities became questions that could be tested with local elemental evidence.

Limitations

The SEM work consisted of two sessions of roughly one to two hours each. EDS measurements represent selected spots, lines, or mapped regions rather than the bulk composition of the geode. Some observations remained exploratory, and biological sample coating was performed by Dr. Franţescu rather than independently.

Next questions

A future session would use repeated selection criteria, record particle or crystal size alongside each EDS result, and test whether the apparent relationship between structure and composition is repeatable. I would also continue learning advanced SEM functions and the detector physics behind image formation.

Experience at a glance

Experience dates
Aug. 24-29, 2026

Main project work continued through August 28.

SEM sessions
2

Roughly one to two hours each.

Retained SEM images
28

11 from the first session and 17 from the second.

EDS projects
10

Spot, map, and line-scan work retained from the geode investigation.

Engineering builds
1

An Arduino, LiDAR sensor, LED, and a CAD-designed enclosure.

Faculty contribution

SEM mentor and faculty host
Dr. Ovidiu Franţescu

Every SEM image and EDS result in this report was possible because Dr. Franţescu provided access, instruction, scientific context, and the freedom to investigate selected regions.

Spiny spherical pollen particles imaged with a scanning electron microscope.
EnvSci_221: spiny spherical particles remembered as one of the clearest pollen examples from the first session.
The underside of a pseudoscorpion imaged with a scanning electron microscope.
EnvSci_226: the pseudoscorpion imaged from the underside. Dr. Franţescu used the specimen to explain how biological form can connect to function.
A rough, recessed geode region with an EDS analysis point selected.
Geode 1: a rough, recessed region with a selected analysis point. Regions like this shifted the investigation beyond obvious contrast.
A geode EDS map region with strong antimony and sulfur signals.
Geode 8: a retained EDS map region whose export reported antimony and sulfur among the strongest weight-percentage signals.

Data

Largest reported signal in selected EDS results

The largest reported local weight-percentage signal varied between selected geode regions. These values are semiquantitative and do not represent the composition of the whole specimen.

Largest reported signal in selected EDS results
LabelValue
Geode 2 - Si40.1 %
Geode 4 - O23.5 %
Geode 5 - Sn56.3 %
Geode 8 - Sb41.5 %
Geode 10 - Sb35.8 %

Challenge

What needed to change

Move beyond simply recording interesting SEM images and decide which small surface differences were worth testing.

Solution

How I approached it

Use cracks, boundaries, divots, distinct crystals, and apparent changes in depth to choose EDS locations, then compare the elemental result with the original visual expectation.

Continue exploring

Read the complete report and faculty profile

The nine-page report includes the complete reflection, retained data inventory, limitations, and full EDS summary.