Ming-Dar Tsai
Overview
Explore the profile of Ming-Dar Tsai including associated specialties, affiliations and a list of published articles.
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Articles
38
Citations
149
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Recent Articles
1.
Chu S, Yokota H, Wang P, Abe K, Hayashi Y, Cho D, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40039597
Live cell staining is expensive and may bring potential safety issues in downstream clinical applications, bright-field images rather than staining images should be more suitable to reveal time-series changes of...
2.
Chu S, Abe K, Yokota H, Cho D, Hayashi Y, Tsai M
J Microsc
. 2024 Jul;
296(1):79-93.
PMID: 38994744
Micropatterning is reliable method for quantifying pluripotency of human-induced pluripotent stem cells (hiPSCs) that differentiate to form a spatial pattern of sorted, ordered and nonoverlapped three germ layers on the...
3.
Chu S, Yokota H, Hsieh H, Abe K, Cho D, Tsai M
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-4.
PMID: 38083144
Accurate single cell segmentation provides means to monitor the behavior of single cell within a population of cells. Time-lapse fluorescence images are used to reveal heterogeneous nature of single mouse...
4.
Chu S, Abe K, Lin K, Yokota H, Cho D, Tsai M
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-4.
PMID: 38082741
Three germ layer formation on micropatterns are extremely useful for quantitative analysis of hiPSC (human induced pluripotent stem cells) pluripotency. Spatial patterns of stem cells differentiated on the micropatterns will...
5.
Chu S, Sudo K, Yokota H, Abe K, Nakamura Y, Tsai M
Comput Methods Programs Biomed
. 2022 Dec;
229:107264.
PMID: 36473419
Background And Objective: Human induced pluripotent stem cells (hiPSCs) represent an ideal source for patient specific cell-based regenerative medicine; however, efficiency of hiPSC formation from reprogramming cells is low. We...
6.
Chu S, Yokota H, Abe K, Cho D, Tsai M
Annu Int Conf IEEE Eng Med Biol Soc
. 2022 Sep;
2022:512-515.
PMID: 36086281
Cell segmentation at a single cell resolution is required to provide insights for basic biology and application study. However, there are issues of low signal-to-noise ratio, weak fluorescence response, and...
7.
Chu S, Sudo K, Abe K, Yokota H, Nakamura Y, Liou G, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2022 Sep;
2022:2029-2032.
PMID: 36085839
We use deep learning methods to predict human induced pluripotent stem cell (hiPSC) formation using time-lapse brightfield microscopy images taken from a cell identified as the beginning of entered into...
8.
Chu S, Abe K, Yokota H, Cho D, Chen Y, Tsai M
Annu Int Conf IEEE Eng Med Biol Soc
. 2021 Dec;
2021:3713-3716.
PMID: 34892043
Human induced pluripotent stem cells (hiPSCs) can differentiate into three germ layer cells, i.e. ectoderm, mesoderm and endoderm, on micropatterned chips in highly synchronous and reproducible manners. The cells are...
9.
Yokota H, Abe K, Chang Y, Cho D, Tsai M, Huang P
Annu Int Conf IEEE Eng Med Biol Soc
. 2021 Dec;
2021:2944-2947.
PMID: 34891862
We present a cell tracking method for time-lapse confocal microscopy (3D) images that uses dynamic hierarchical data structures to assist cell and colony segmentation and tracking. During the segmentation, the...
10.
Chu S, Abe K, Yokota H, Sudo K, Nakamura Y, Chang Y, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2020 Oct;
2020:1820-1823.
PMID: 33018353
We present a new LSTM (P-LSTM: Progressive LSTM) network, aiming to predict morphology and states of cell colonies from time-lapse microscopy images. Apparent short-term changes occur in some types of...