We have created a YouTube channel to introduce our studies.

The link to the channel: https://www.youtube.com/@HoshinoLabUConn

The first video introduces our novel light-sheet microscopy method that integrates single-cell optical viscoelastography and fluorescence cytometry of 3D live tissues:

Our recent paper on this study was selected as an Editor’s Choice article in Advanced Materials Technologies.

Yuji Tomizawa, Khadija H. Wali, Manav Surti, Yasir Suhail, Kshitiz, and Kazunori Hoshino, “Single-cell quantification of viscoelastic phase transitions in 3D tissues,” Advanced Materials Technologies, 2025, 2401302, DOI: 10.1002/admt.202401302. read only article, arcitle page

 

 

The cover art for our paper was selected as the inside front cover for the latest issue (Volume 25, Number 2) of Lab on a Chip.

Paper information:

Mitchell Modarelli, Devin Kot-Thompson, and Kazunori Hoshino. “5-axis CNC micro-milling machine for three-dimensional microfluidics.” Lab on a Chip, 2025, 25, 127 – 142. (DOI: 10.1039/D4LC00496E) link

Our presentation at the 37th International Conference on Micro Electro Mechanical Systems (IEEE MEMS 2024,  21-25 January 2024, Austin, Texas) won the Outstanding Student Poster Award. The IEEE MEMS conference is one of the premier annual events in the MEMS field.

Venkat Kidambi was among the 4 awardees selected out of 659 submitted abstracts. Congratulations, Venkat!

https://www.mems24.org/home/award_winners.html

Awarded paper:

Venkatanathan Kidambi, Yuji Tomizawa, Manav Surti, Mitchell Modarelli, Kazunori Hoshino, “Single-Cellular Dynamic Mechanical Analysis of Live 3d Organoids Under Light-Sheet Fluorescence Microscopy,” Proceedings of the 13th IEEE International Conference on Micro Electro Mechanical Systems, pp. 330-333, Austin, Texas, 2024.1.21-25.

Professor Kazunori Hoshino (PI) received a new NSF grant (NSF #2223957) with a total of $790,267.00 for three years (Start Date: Oct 1, 2022). The project is entitled “A light-sheet microscopy (LSM)-based, spatially-resolved 3D dynamic mechanical analysis (DMA) instrument for developmental biology and physiology.” He will work with Professor Jianjun Sun (Co-PI) of Physiology and Neurobiology to create a new microscope system and study the growth and the development of live tissues and organs of Drosophila, zebrafish, and mouse.

Dr. Kazunori Hoshino received an NSF CAREER award (NSF #1942518) for his project titled “CAREER: Biomechanical Signatures in Vertebrate Embryonic Development.” The project aims to investigate a novel biomechanical method to quantitatively assess the status of tissue differentiation and organ formation in key developmental stages of vertebrate embryos. The project starts from July 1, 2020, and the total amount of the award is $500,000 for five years.

UConn Faculty Members Win Prestigious Research Awards

BME senior Ariane Garrett has been selected to receive a 2020 National Science Foundation (NSF) Graduate Research Fellowship (GRF). Congratulations!

Students Earn National Science Foundation Graduate Research Fellowships

 

Dr. Kazunori Hoshino has been appointed to the editorial board of Springer Nature Scientific Reports.

BME junior Ariane Garrett, who has been with the Hoshino group since her freshman year, is one of the 496 students selected nationally for the award. Established by the United States Congress, the Goldwater Scholarship is considered one of the most prestigious scholarship for undergraduates in math, natural sciences, and engineering.

Four UConn Students Named Goldwater Scholars

Dr. Kazunori Hoshino published a new book “Molecular Sensors and Nanodevices, 2nd Edition” from Elsevier (Published Date: 23rd November 2018).

The book is designed to be used as a foundational text, aimed at graduates, advanced undergraduates, early-career engineers and clinicians.

https://www.elsevier.com/books/molecular-sensors-and-nanodevices/zhang/978-0-12-814862-4

Professor Kazunori Hoshino (PI) received a new grant from the NSF for $360,000 (Start Date: July 1, 2018). The project is entitled “Micro/mesoscale elastography based on real-time 3D tomography and cantilever force sensing.” He will work with Professor Guoan Zheng (Co-PI) to study a micro/mesoscale robotic manipulation system based on quantitative and reliable information obtained from force sensing and 3D imaging.