Thomas Wang
VerifiedUniversity of Michigan · Mechanical Engineering
Active 1989–2026
About
Thomas Wang is a Professor of Mechanical Engineering at the University of Michigan. His research interests include biomedical instrument design, imaging systems, micro-optics, bio-microelectromechanical systems (bio-MEMS), miniature sensors, mirrors, and actuators. He is involved in the development of microsystem-based optical imaging technologies, serving as a principal investigator in a $6 million project to establish a new National Center for Biomedical Imaging and Bioengineering at U-M. His work focuses on advancing biomedical imaging and bioengineering technologies through innovative microsystem and optical system design.
Research topics
- Computer Science
- Artificial Intelligence
- Cancer research
- Optics
- Computer vision
- Pathology
- Biology
- Physics
- Materials science
- Nanotechnology
- Medicine
- Radiology
- Internal medicine
Selected publications
Compact, Scan-Pattern-Switchable 2-D Piezoelectric MEMS Mirror With 1-D Addressable Scanning
Journal of Microelectromechanical Systems · 2026-01-21
articleOpen accesschip) achieve a total mechanical scan angle (MSA) of 112° in slow axis resonance, including 11° of addressable static scan angle, and a total MSA of 15° excited at 3 kHz in the fast axis. A bar and hinge simulation model is introduced that accurately captures nonlinear dynamics. These capabilities are suitable for high frame rates in either Lissajous or raster scan patterns in microendoscope form factors, while static scan angle in bending enables significant 1D addressability.
2026-03-05
article1st authorCorrespondingNeoplasia · 2026-03-27
articleOpen accessSenior authorCorrespondingBACKGROUND & AIMS: Colorectal cancer (CRC) remains a leading cause of cancer‑related morbidity and mortality worldwide. Although the adenoma-carcinoma sequence and its genetic drivers are well described, the earliest cellular and molecular events initiating tumorigenesis within histologically normal colonic epithelium remain poorly defined. This study aims to identify tumor‑initiating cells (TICs), distinguish them from normal stem‑like cells (nSTMs), and delineate early transcriptional and signaling programs using single‑cell RNA sequencing (scRNA‑seq) from paired normal‑appearing and transformed human colonic tissues. METHODS: Fresh biopsies from histologically normal mucosa and matched polyps, including tubular adenomas, sessile serrated adenomas, and adenocarcinomas, were collected from seven subjects. Single‑cell transcriptomes were generated using the 10x Genomics platform and analyzed with Seurat, Monocle2, CytoTRACE, GSEA/GSVA, RNA velocity, InferCNV, CellChat, and NicheNet. Spatial validation was performed using RNA‑FISH. RESULTS: We resolved 51,054 high‑quality single‑cell transcriptomes into 33 clusters. Tumor-specific stem-like (tSTM) and deep crypt secretory (tDCS) populations were enriched in adenomas. Subclustering of tSTM identified TIC-like subsets predominantly derived from histologically normal mucosa that localized to the root of lineage trajectories leading to polyp-enriched tSTM states. Compared to nSTMs, TICs exhibited enhanced stemness potential, early epithelial-mesenchymal transition (EMT) and interferon signaling, suppression of oxidative phosphorylation, and distinct genomic and signaling features, indicating early neoplastic reprogramming. ETS2, SLC12A2, and LEFTY1 were identified as TIC‑specific markers; SOD3 and GPRC5A increased along the TIC‑to‑tSTM trajectory. RNA‑FISH confirmed candidate marker localization. Independent validation using the COLONMAP dataset (30 polyps, 35 normal samples) demonstrated that TIC-like cells were predominantly enriched in tubular adenomas but were scarce in serrated lesions. Across this independent cohort, TIC marker genes showed reproducible upregulation in TIC-like populations, supporting the robustness of these observations across cohorts. CONCLUSIONS: Our results identify TICs as the origin of neoplastic stem‑like states in the conventional tubular adenoma pathway and define early transcriptional, metabolic, and microenvironmental reprogramming events that distinguish TICs from nSTMs. In contrast to serrated pathways described in other atlases, our data support a stem‑like expansion model for tubular adenomas and nominate biomarkers with translational potential for early CRC detection and intervention.
IEEE/ASME Transactions on Mechatronics · 2025-04-04
articleOpen accessThis article examines interdependent design of an optical path and a microelectromechanical system (MEMS) scanning mirror for a miniature, implantable fluorescence microscope with large working distance (WD). Linearized and numerical ray analyses are used to approximately decouple optical and mechanical functions during design. We then maximize scan rate in the scenario of high-NA focusing with a specified WD and field-of-view (FOV). To do so, dynamic rotational analysis is combined with a novel model for expected failure voltage of parametrically-resonant electrostatic MEMS scanning mirrors. Mirrors parameters are set to optimize mirror speed within constraints fixed by optical specifications, while compatible optical path is selected for small objective diameter. A prototype instrument achieving sub-cellular resolution up to approximately 500 x 500 μm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> FOV at up to 300 μm WD is validated on imaging targets and excised mouse brain tissue.
SSRN Electronic Journal · 2025-01-01
preprintOpen accessSenior authorA novel peptide multimer for enhanced imaging and multivalent detection of hepatocellular carcinoma
Sensors and Actuators B Chemical · 2025-07-15 · 1 citations
articleSenior authorCorrespondingBiosensors and Bioelectronics · 2025-07-04 · 1 citations
articleOpen accessSenior authorCorrespondingResearch Square · 2025-10-27
preprintOpen accessSenior author2024-11-01
preprintOpen access<p>Supplementary Figure S5. Intracellular localization of Frag J and Frag J-Δ.</p>
Cancers · 2024-08-10 · 4 citations
articleOpen accessSenior authorCorrespondingHepatocellular carcinoma (HCC) has emerged as a major contributor to the worldwide cancer burden. Improved methods are needed for early cancer detection and image-guided surgery. Peptides have small dimensions that can overcome delivery challenges to achieve high tumor concentrations and deep penetration. We used phage display methods to biopan against the extra-cellular domain of the purified EpCAM protein, and used IRDye800 as a near-infrared (NIR) fluorophore. The 12-mer sequence HPDMFTRTHSHN was identified, and specific binding to EpCAM was validated with HCC cells in vitro. A binding affinity of kd = 67 nM and onset of k = 0.136 min−1 (7.35 min) were determined. Serum stability was measured with a half-life of T1/2 = 2.6 h. NIR fluorescence images showed peak uptake in vivo by human HCC patient-derived xenograft (PDX) tumors at 1.5 h post-injection. Also, the peptide was able to bind to foci of local and distant metastases in liver and lung. Peptide biodistribution showed high uptake in tumor versus other organs. No signs of acute toxicity were detected during animal necropsy. Immunofluorescence staining of human liver showed specific binding to HCC compared with cirrhosis, adenoma, and normal specimens.
Recent grants
Multiplexed Multi-Modal Endoscopic Imaging of Cancer Biomarkers
NIH · $1.4M · 2015–2020
Early Targets in Progression of Barrett's Esophagus to Esophageal Adenocarcinoma
NIH · $18.5M · 2022–2024
NIH · $148k · 2009
NIH · $1.1M · 2009
NIH · $607k · 2008
Frequent coauthors
- 56 shared
Kenn R. Oldham
University of Michigan–Ann Arbor
- 51 shared
Xiyu Duan
China Medical University
- 45 shared
Bishnu Joshi
- 40 shared
Henry D. Appelman
University of Michigan–Ann Arbor
- 38 shared
Haijun Li
- 33 shared
Gaoming Li
State Key Laboratory for Modification of Chemical Fibers and Polymer Materials
- 27 shared
Sharon Miller
University of Michigan–Ann Arbor
- 26 shared
Christopher H. Contag
Michigan State University
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