Large Raman datasets acquired from liver tissue were collected and fed into a CNN-based deep learning model to train it to distinguish spectral data of different tissue types. The model was then used to differentiate different pathological types of liver cancer tissues. In addition, the Raman resu...
Breast cancer is the most common type of cancer among women worldwide. The standard histopathology of breast tissue, the primary means of disease diagnosis, involves manual microscopic examination of stained tissue by a pathologist. Because this method relies on qualitative information, it can result...
These results have the potential to stimulate a shift in the tumor segmentation training paradigm, as illustrated in Fig- ure 2, from label-intensive to label-free AI development for tumor segmentation. Our ultimate goal is to train AI models for tumor segmentation without using manual annotation...
2a). The zoomed-in image in Fig. 2a is a detailed schematic of the PA signal acquisition module. A formalin-fixed paraffin-embedded (FFPE) tissue section was fixed to the tissue holder, and the laser and acoustic beams were simultaneously scanned with a MEMS mirror. After passing through ...
This automated approach does not consume tissue material, has no inter-/intra-observer variability, and can additionally classify the tissue microenvironment within 30 min. Classification using infrared (IR) imaging has been reported for several types of tissue such as lung (including its subtyping...
Here, we introduce methods to improve robustness of analysis and sorting of single cells from nervous tissue and provide DNNs which can distinguish visually similar cells. We employ the DNN for image-based sorting to enrich photoreceptor cells from dissociated retina for transplantation into the mouse...
Histological staining is a vital step in diagnosing various diseases and has been used for more than a century to provide contrast in tissue sections, rendering the tissue constituents visible for microscopic analysis by medical experts. However, this pr
The small footprint of the BIND Scanner allows it to be located within a tissue culture incubator, enabling high temporal resolution, time-lapse imaging of cellular responses at physiologic conditions (Figure 2e). As such, we used this imaging modality in a quantitative assay to measure changes ...
and the resulting temporal signal for each spatial pixel is analyzed based on its temporal frequency response, which exhibits an exponential-like behavior that can be characterized using phasor analysis, as illustrated in Fig.1(more details in the “Results” and “Methods” section). Here, we ...
It should be noted that the order of data processing steps may vary within different pipelines. These data processing steps pose significant computational challenges, and are thought to be the source of much irreproducibility. This was illustrated by a recent test study by Bell et al. [6]. In...