A fundamental challenge of biology is to understand the vast heterogeneity of cells, particularly how cellular composition, structure, and morphology are linked to cellular physiology. Unfortunately, conventional technologies are limited in uncovering these relations. We present a machine-intelligence technology based on a radically different architecture that realizes real-time image-based intelligent cell sorting at an unprecedented rate. This technology, which we refer to as intelligent image-activated cell sorting, integrates high-throughput cell microscopy, focusing, and sorting on a hybrid software-hardware data-management infrastructure, enabling real-time automated operation for data acquisition, data processing, decision-making, and actuation. We use it to demonstrate real-time sorting of microalgal and blood cells based on intracellular protein localization and cell-cell interaction from large heterogeneous populations for studying photosynthesis and atherothrombosis, respectively. The technology is highly versatile and expected to enable machine-based scientific discovery in biological, pharmaceutical, and medical sciences.

Combining the strength of flow cytometry with fluorescence imaging and digital image analysis, imaging flow cytometry is a powerful tool in diverse fields including cancer biology, immunology, drug discovery, microbiology, and metabolic engineering. It enables measurements and statistical analyses of chemical, structural, and morphological phenotypes of numerous living cells to provide systematic insights into biological processes. However, its utility is constrained by its requirement of fluorescent labeling for phenotyping. Here we present label-free chemical imaging flow cytometry to overcome the issue. It builds on a pulse pair-resolved wavelength-switchable Stokes laser for the fastest-to-date multicolor stimulated Raman scattering (SRS) microscopy of fast-flowing cells on a 3D acoustic focusing microfluidic chip, enabling an unprecedented throughput of up to ∼140 cells/s. To show its broad utility, we use the SRS imaging flow cytometry with the aid of deep learning to study the metabolic heterogeneity of microalgal cells and perform marker-free cancer detection in blood.

The advent of image-activated cell sorting and imaging-based cell picking has advanced our knowledge and exploitation of biological systems in the last decade. Unfortunately, they generally rely on fluorescent labeling for cellular phenotyping, an indirect measure of the molecular landscape in the cell, which has critical limitations. Here we demonstrate Raman image-activated cell sorting by directly probing chemically specific intracellular molecular vibrations via ultrafast multicolor stimulated Raman scattering (SRS) microscopy for cellular phenotyping. Specifically, the technology enables real-time SRS-image-based sorting of single live cells with a throughput of up to~100 events per second without the need for fluorescent labeling. To show the broad utility of the technology, we show its applicability to diverse cell types and sizes. The technology is highly versatile and holds promise for numerous applications that are previously difficult or undesirable with fluorescence-based technologies.

The upgraded version of intelligent image-activated cell sorting (iIACS) has enabled higher-throughput and more sensitive intelligent image-based sorting of single live cells from heterogeneous populations.

The overhead of copying data through the central processor by a message passing protocol limits data transfer bandwidth. If the network intelface directly transfers the user's memory to the network by issuing DMA, such data copies may be eliminated. Since the DMA facility accesses the physical memory address space, user virtual memory must be pinned down to a physical memory location before the message is sent or received. If each message transfer involves pin-down and release kernel primitives, message transfer bandwidth will decrease since those primitives are quite expensive. We propose a zero copy message transfer with a pin-down cache technique which reuses the pinneddown area to decrease the number of calls to pin-down and release primitives. The proposed facility has been implemented in the PM low-level communication library on our RWC PC Cluster II, consisting of 64 Pentium Pro 200 MHz CPUs connected by a Myricom Myrinet network, and running NetBSD. The PM achieves 108.8 MByteshec for a 100 % pin-down cache hit ratio and 78.7MByteskec for all pindown cache miss. The MPI library has been implemented on top of PM. According to the NAS Parallel benchmarks result, an application is still better performance in case that cache miss ratio is very high.

This study was undertaken to determine the effects of interleukin-1 (IL-1) on human thyroid epithelial cells (thyrocytes) and whether thyrocytes produce IL-1. The supernatants of cultured peripheral blood monocytes stimulated with lipopolysaccharide (LPS) increased [3H]thymidine incorporation into thyrocytes from normal subjects and patients with Grave's disease. The IL-1 levels of cultured supernatants of monocytes were measured by a thymocyte costimulation assay and a solid phase sandwich immunoenzymometric assay. The supernatants of monocyte cultures stimulated with LPS contained significant amounts of IL-1 bioactivity and IL-1 alpha and IL-1 beta immunoactivity. Recombinant IL-1 beta (rIL-1 beta) also stimulated [3H]thymidine incorporation into thyrocytes from normal subjects and patients with Graves' disease, and it increased the proportion of thyrocytes in the S phase of the cell cycle. Furthermore, thyrocytes stimulated with rIL-1 beta for 24 h produced significant amounts of prostaglandin E2. Indomethacin inhibited completely the rIL-1 beta-stimulated prostaglandin E2 production and increased markedly [3H]thymidine incorporation. IL-1-like activity also was detected in the cultured supernatants of lipopolysaccharide (LPS)-stimulated thyrocytes from Graves' and normal thyroid glands, but the amount of IL-1-like activity secreted by thyrocytes was significantly less than that secreted by circulating monocytes. The kinetics of the release of IL-1-like activity by thyrocytes were similar to those of its production by circulating monocytes. Pretreatment of thyrocytes with interferon-gamma failed to enhance the release of IL-1-like activity. Moreover, IL-1 alpha or IL-1 beta immunoreactivity could not be detected in the supernatants of LPS-stimulated thyrocytes, despite the presence of IL-1-like bioactivity. No IL-1 alpha mRNA was detected in unstimulated thyrocytes or thyrocytes stimulated with LPS and phorbol myristate acid. These findings demonstrate that thyrocytes produce an IL-1-like substance(s), but not IL-1, when stimulated by LPS. We conclude that IL-1 may regulate the proliferation of thyrocytes and that local production of IL-1 by infiltrating monocytes may contribute to the development of goiter in patients with autoimmune thyroid diseases.

Abstract. We have developed a new communication library, called PM, for the Myrinet gigabit LAN card, that has a dedicated processor and onboard memory to handle communication protocols. To obtain high performance communication and support multi-user environments, we have co-designed PM, an operating system implemented as a daemon process, and the run-time routine for a programming language. Several unique features, e.g., network context switching and a Modified ACK/NACK flow control algorithm, have been developed for PM. The PM library has been implemented on two types of clusters: Sun SPAP~Cstation model 20/71 workstations and Intel Pentium based PCs. PM on the Sun workstations has a round trip time of 20 #seconds for a user-level 8 byte message and a bandwidth of 38.6 Mbytes/second for an 8 Kbyte message. The result of a NAS parallel benchmark shows that a Sparc 20 workstation cluster achieves almost the same performance as a Cray T3D.

The expression of surface markers associated with activation and characterization was compared among T cells in thyroid glands and peripheral blood of 10 patients with Graves' hyperthyroidism receiving chronic antithyroid drug therapy, in peripheral blood of 15 patients with untreated hyperthyroid Graves' disease, and in peripheral blood of 21 normal subjects using two-color flow cytometry. In the chronically treated Graves' disease patients, the percentage of activated T cells (HLA-DR+ T cells) among total T cells was significantly higher in thyroid tissue than in peripheral blood, and the increase in percent activated T cells was also significant among both helper/inducer T cell (CD4+ cell) and suppressor/cytotoxic T cell (CD8+ cell) subsets. The percentage of activated T cells in peripheral blood was not significantly different between chronically treated hyperthyroid Graves' patients and normal subjects, whereas the percentage of activated T cells in the peripheral blood from untreated hyperthyroid Graves' disease patients was significantly higher than that in normal subjects or chronically treated hyperthyroid Graves' patients. The percentages of CD4+ cells and CD8+ cells among total T cells were not different between thyroid tissues and peripheral blood in patients with chronically treated hyperthyroid Graves' disease. When CD4+ were further divided into helper T cells (CD4+2H4- cells) and suppressor-inducer T cells (CD4+2H4+ cells) using two-color flow cytometry, the percentage of helper T cells among CD4+ cells was significantly higher in thyroid tissue than in peripheral blood, resulting in an increased ratio of CD4+2H4- cells to CD4+2H4+ cells. The percentage of CD4+2H4+ cells in peripheral blood, however, was not significantly different among untreated and chronically treated Graves' disease patients and normal subjects. From the findings of abnormalities in intrathyroidal T cell subsets, we suggest that the decrease in the function of suppressor T cells within the thyroids of Graves' disease patients may be due to a decrease in CD4+2H4+ cells within thyroid tissue.